Overview

Brought to you by YData

Dataset statistics

Number of variables	49
Number of observations	50000
Missing cells	12596
Missing cells (%)	0.5%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	118.4 MiB
Average record size in memory	2.4 KiB

Variable types

Numeric	12
Text	8
Categorical	19
Boolean	8
DateTime	2

Alerts

`Amount Spent on In-App Purchases` is highly overall correlated with `Transaction Type`	High correlation
`App/Game Price` is highly overall correlated with `Free/Paid` and 1 other fields	High correlation
`Category` is highly overall correlated with `Sub_Category`	High correlation
`Country` is highly overall correlated with `State`	High correlation
`Free/Paid` is highly overall correlated with `App/Game Price` and 1 other fields	High correlation
`Play Pass Plan` is highly overall correlated with `Play Pass User`	High correlation
`Play Pass User` is highly overall correlated with `Play Pass Plan`	High correlation
`Price Paid (with Coupon)` is highly overall correlated with `App/Game Price` and 1 other fields	High correlation
`State` is highly overall correlated with `Country`	High correlation
`Sub_Category` is highly overall correlated with `Category`	High correlation
`Transaction Type` is highly overall correlated with `Amount Spent on In-App Purchases`	High correlation
`Play Pass Plan` has 12596 (25.2%) missing values	Missing
`ID` is uniformly distributed	Uniform
`ID` has unique values	Unique
`Phone` has unique values	Unique
`Transaction ID` has unique values	Unique
`Review Text` has unique values	Unique
`App/Game Price` has 24856 (49.7%) zeros	Zeros
`Price Paid (with Coupon)` has 24856 (49.7%) zeros	Zeros
`Amount Spent on In-App Purchases` has 30011 (60.0%) zeros	Zeros
`Time Since Last Use (days)` has 787 (1.6%) zeros	Zeros
`Subscription Duration` has 1967 (3.9%) zeros	Zeros

Reproduction

Analysis started	2025-04-07 03:34:53.354492
Analysis finished	2025-04-07 03:35:19.293795
Duration	25.94 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

ID
Real number (ℝ)

Uniform Unique

Distinct	50000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	25000.5

Minimum	1
Maximum	50000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	1
5-th percentile	2500.95
Q1	12500.75
median	25000.5
Q3	37500.25
95-th percentile	47500.05
Maximum	50000
Range	49999
Interquartile range (IQR)	24999.5

Descriptive statistics

Standard deviation	14433.901
Coefficient of variation (CV)	0.5773445
Kurtosis	-1.2
Mean	25000.5
Median Absolute Deviation (MAD)	12500
Skewness	0
Sum	1.250025 × 10⁹
Variance	2.083375 × 10⁸
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
50000	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
Other values (49990)	49990	> 99.9%

Value	Count	Frequency (%)
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
50000	1	< 0.1%
49999	1	< 0.1%
49998	1	< 0.1%
49997	1	< 0.1%
49996	1	< 0.1%
49995	1	< 0.1%
49994	1	< 0.1%
49993	1	< 0.1%
49992	1	< 0.1%
49991	1	< 0.1%

Name
Text

Distinct	40115
Distinct (%)	80.2%
Missing	0
Missing (%)	0.0%
Memory size	3.4 MiB

Length

Max length	30
Median length	27
Mean length	13.28136
Min length	6

Characters and Unicode

Total characters	664068
Distinct characters	54
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	34118 ?
Unique (%)	68.2%

Sample

1st row	Danielle Taylor
2nd row	Michele Williams
3rd row	Nicole Patterson
4th row	Christopher Ashley
5th row	Amy Jones

Value	Count	Frequency (%)
michael	1178	1.2%
smith	1106	1.1%
james	881	0.9%
johnson	842	0.8%
david	796	0.8%
jennifer	745	0.7%
john	741	0.7%
robert	735	0.7%
christopher	696	0.7%
williams	682	0.7%
Other values (1588)	93815	91.8%

Most occurring characters

Value	Count	Frequency (%)
e	61502	9.3%
a	60916	9.2%
	52217	7.9%
n	50130	7.5%
r	47789	7.2%
i	40263	6.1%
o	35931	5.4%
l	33725	5.1%
s	29689	4.5%
t	23080	3.5%
Other values (44)	228826	34.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	664068	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	61502	9.3%
a	60916	9.2%
	52217	7.9%
n	50130	7.5%
r	47789	7.2%
i	40263	6.1%
o	35931	5.4%
l	33725	5.1%
s	29689	4.5%
t	23080	3.5%
Other values (44)	228826	34.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	664068	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	61502	9.3%
a	60916	9.2%
	52217	7.9%
n	50130	7.5%
r	47789	7.2%
i	40263	6.1%
o	35931	5.4%
l	33725	5.1%
s	29689	4.5%
t	23080	3.5%
Other values (44)	228826	34.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	664068	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	61502	9.3%
a	60916	9.2%
	52217	7.9%
n	50130	7.5%
r	47789	7.2%
i	40263	6.1%
o	35931	5.4%
l	33725	5.1%
s	29689	4.5%
t	23080	3.5%
Other values (44)	228826	34.5%

Email
Text

Distinct	48955
Distinct (%)	97.9%
Missing	0
Missing (%)	0.0%
Memory size	3.8 MiB

Length

Max length	42
Median length	37
Mean length	21.91168
Min length	12

Characters and Unicode

Total characters	1095584
Distinct characters	39
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	48057 ?
Unique (%)	96.1%

Sample

1st row	rhodespatricia@garza.com
2nd row	kendragalloway@gmail.com
3rd row	jeffrey28@yahoo.com
4th row	georgetracy@gmail.com
5th row	heathchad@ramirez.com

Value	Count	Frequency (%)
ksmith@yahoo.com	6	< 0.1%
wsmith@hotmail.com	5	< 0.1%
fjones@yahoo.com	5	< 0.1%
tjohnson@gmail.com	5	< 0.1%
jlopez@gmail.com	5	< 0.1%
gjones@gmail.com	4	< 0.1%
sjohnson@hotmail.com	4	< 0.1%
john96@gmail.com	4	< 0.1%
rjohnson@hotmail.com	4	< 0.1%
ajohnson@hotmail.com	4	< 0.1%
Other values (48945)	49954	99.9%

Most occurring characters

Value	Count	Frequency (%)
o	109767	10.0%
a	94318	8.6%
m	81745	7.5%
e	79148	7.2%
r	61852	5.6%
n	61200	5.6%
i	60838	5.6%
l	60076	5.5%
c	59358	5.4%
@	50000	4.6%
Other values (29)	377282	34.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1095584	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	109767	10.0%
a	94318	8.6%
m	81745	7.5%
e	79148	7.2%
r	61852	5.6%
n	61200	5.6%
i	60838	5.6%
l	60076	5.5%
c	59358	5.4%
@	50000	4.6%
Other values (29)	377282	34.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1095584	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	109767	10.0%
a	94318	8.6%
m	81745	7.5%
e	79148	7.2%
r	61852	5.6%
n	61200	5.6%
i	60838	5.6%
l	60076	5.5%
c	59358	5.4%
@	50000	4.6%
Other values (29)	377282	34.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1095584	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	109767	10.0%
a	94318	8.6%
m	81745	7.5%
e	79148	7.2%
r	61852	5.6%
n	61200	5.6%
i	60838	5.6%
l	60076	5.5%
c	59358	5.4%
@	50000	4.6%
Other values (29)	377282	34.4%

Phone
Text

Unique

Distinct	50000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

Length

Max length	22
Median length	19
Mean length	16.1749
Min length	10

Characters and Unicode

Total characters	808745
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	50000 ?
Unique (%)	100.0%

Sample

1st row	833-589-0838
2nd row	664-375-2553
3rd row	801-922-6916
4th row	(443)903-9117x182
5th row	+1-329-397-3763

Value	Count	Frequency (%)
7478095214	1	< 0.1%
1-776-923-0318x93612	1	< 0.1%
833-589-0838	1	< 0.1%
664-375-2553	1	< 0.1%
801-922-6916	1	< 0.1%
443)903-9117x182	1	< 0.1%
1-329-397-3763	1	< 0.1%
267)873-6026	1	< 0.1%
001-485-643-5346	1	< 0.1%
518-624-4935	1	< 0.1%
Other values (49990)	49990	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
-	78265	9.7%
0	68117	8.4%
1	68047	8.4%
8	65001	8.0%
4	64759	8.0%
3	64645	8.0%
7	64619	8.0%
5	64567	8.0%
9	64303	8.0%
2	64286	7.9%
Other values (6)	142136	17.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	808745	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
-	78265	9.7%
0	68117	8.4%
1	68047	8.4%
8	65001	8.0%
4	64759	8.0%
3	64645	8.0%
7	64619	8.0%
5	64567	8.0%
9	64303	8.0%
2	64286	7.9%
Other values (6)	142136	17.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	808745	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
-	78265	9.7%
0	68117	8.4%
1	68047	8.4%
8	65001	8.0%
4	64759	8.0%
3	64645	8.0%
7	64619	8.0%
5	64567	8.0%
9	64303	8.0%
2	64286	7.9%
Other values (6)	142136	17.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	808745	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
-	78265	9.7%
0	68117	8.4%
1	68047	8.4%
8	65001	8.0%
4	64759	8.0%
3	64645	8.0%
7	64619	8.0%
5	64567	8.0%
9	64303	8.0%
2	64286	7.9%
Other values (6)	142136	17.6%

Age
Real number (ℝ)

Distinct	53
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	39.0241

Minimum	13
Maximum	65
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	13
5-th percentile	15
Q1	26
median	39
Q3	52
95-th percentile	63
Maximum	65
Range	52
Interquartile range (IQR)	26

Descriptive statistics

Standard deviation	15.312321
Coefficient of variation (CV)	0.39238114
Kurtosis	-1.2042427
Mean	39.0241
Median Absolute Deviation (MAD)	13
Skewness	0.00092242599
Sum	1951205
Variance	234.46717
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
30	1006	2.0%
51	1002	2.0%
49	995	2.0%
20	984	2.0%
26	982	2.0%
63	977	2.0%
44	972	1.9%
29	971	1.9%
35	971	1.9%
27	969	1.9%
Other values (43)	40171	80.3%

Value	Count	Frequency (%)
13	925	1.8%
14	962	1.9%
15	965	1.9%
16	947	1.9%
17	899	1.8%
18	884	1.8%
19	963	1.9%
20	984	2.0%
21	954	1.9%
22	925	1.8%

Value	Count	Frequency (%)
65	940	1.9%
64	947	1.9%
63	977	2.0%
62	951	1.9%
61	958	1.9%
60	963	1.9%
59	945	1.9%
58	924	1.8%
57	908	1.8%
56	957	1.9%

Gender
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.0 MiB

Female	16761
Male	16756
Other	16483

Length

Max length	6
Median length	5
Mean length	5.0001
Min length	4

Characters and Unicode

Total characters	250005
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Male
2nd row	Other
3rd row	Female
4th row	Female
5th row	Female

Common Values

Value	Count	Frequency (%)
Female	16761	33.5%
Male	16756	33.5%
Other	16483	33.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
female	16761	33.5%
male	16756	33.5%
other	16483	33.0%

Most occurring characters

Value	Count	Frequency (%)
e	66761	26.7%
a	33517	13.4%
l	33517	13.4%
F	16761	6.7%
m	16761	6.7%
M	16756	6.7%
O	16483	6.6%
t	16483	6.6%
h	16483	6.6%
r	16483	6.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	250005	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	66761	26.7%
a	33517	13.4%
l	33517	13.4%
F	16761	6.7%
m	16761	6.7%
M	16756	6.7%
O	16483	6.6%
t	16483	6.6%
h	16483	6.6%
r	16483	6.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	250005	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	66761	26.7%
a	33517	13.4%
l	33517	13.4%
F	16761	6.7%
m	16761	6.7%
M	16756	6.7%
O	16483	6.6%
t	16483	6.6%
h	16483	6.6%
r	16483	6.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	250005	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	66761	26.7%
a	33517	13.4%
l	33517	13.4%
F	16761	6.7%
m	16761	6.7%
M	16756	6.7%
O	16483	6.6%
t	16483	6.6%
h	16483	6.6%
r	16483	6.6%

Income Level
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.9 MiB

High	16771
Medium	16641
Low	16588

Length

Max length	6
Median length	4
Mean length	4.33388
Min length	3

Characters and Unicode

Total characters	216694
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Low
2nd row	Medium
3rd row	Low
4th row	High
5th row	Low

Common Values

Value	Count	Frequency (%)
High	16771	33.5%
Medium	16641	33.3%
Low	16588	33.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
high	16771	33.5%
medium	16641	33.3%
low	16588	33.2%

Most occurring characters

Value	Count	Frequency (%)
i	33412	15.4%
H	16771	7.7%
g	16771	7.7%
h	16771	7.7%
M	16641	7.7%
e	16641	7.7%
d	16641	7.7%
u	16641	7.7%
m	16641	7.7%
L	16588	7.7%
Other values (2)	33176	15.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	216694	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	33412	15.4%
H	16771	7.7%
g	16771	7.7%
h	16771	7.7%
M	16641	7.7%
e	16641	7.7%
d	16641	7.7%
u	16641	7.7%
m	16641	7.7%
L	16588	7.7%
Other values (2)	33176	15.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	216694	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	33412	15.4%
H	16771	7.7%
g	16771	7.7%
h	16771	7.7%
M	16641	7.7%
e	16641	7.7%
d	16641	7.7%
u	16641	7.7%
m	16641	7.7%
L	16588	7.7%
Other values (2)	33176	15.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	216694	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	33412	15.4%
H	16771	7.7%
g	16771	7.7%
h	16771	7.7%
M	16641	7.7%
e	16641	7.7%
d	16641	7.7%
u	16641	7.7%
m	16641	7.7%
L	16588	7.7%
Other values (2)	33176	15.3%

Device Type
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.3 MiB

Samsung Galaxy S23	10091
OnePlus 11	10076
Motorola Edge	10018
Pixel 7	9979
Xiaomi 13	9836

Length

Max length	18
Median length	10
Mean length	11.42018
Min length	7

Characters and Unicode

Total characters	571009
Distinct characters	27
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Motorola Edge
2nd row	Motorola Edge
3rd row	Pixel 7
4th row	Xiaomi 13
5th row	Samsung Galaxy S23

Common Values

Value	Count	Frequency (%)
Samsung Galaxy S23	10091	20.2%
OnePlus 11	10076	20.2%
Motorola Edge	10018	20.0%
Pixel 7	9979	20.0%
Xiaomi 13	9836	19.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
samsung	10091	9.2%
galaxy	10091	9.2%
s23	10091	9.2%
oneplus	10076	9.2%
11	10076	9.2%
motorola	10018	9.1%
edge	10018	9.1%
pixel	9979	9.1%
7	9979	9.1%
xiaomi	9836	8.9%

Most occurring characters

Value	Count	Frequency (%)
	60091	10.5%
a	50127	8.8%
l	40164	7.0%
o	39890	7.0%
e	30073	5.3%
1	29988	5.3%
i	29651	5.2%
S	20182	3.5%
n	20167	3.5%
s	20167	3.5%
Other values (17)	230509	40.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	571009	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	60091	10.5%
a	50127	8.8%
l	40164	7.0%
o	39890	7.0%
e	30073	5.3%
1	29988	5.3%
i	29651	5.2%
S	20182	3.5%
n	20167	3.5%
s	20167	3.5%
Other values (17)	230509	40.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	571009	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	60091	10.5%
a	50127	8.8%
l	40164	7.0%
o	39890	7.0%
e	30073	5.3%
1	29988	5.3%
i	29651	5.2%
S	20182	3.5%
n	20167	3.5%
s	20167	3.5%
Other values (17)	230509	40.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	571009	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	60091	10.5%
a	50127	8.8%
l	40164	7.0%
o	39890	7.0%
e	30073	5.3%
1	29988	5.3%
i	29651	5.2%
S	20182	3.5%
n	20167	3.5%
s	20167	3.5%
Other values (17)	230509	40.4%

Android Version
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.8 MiB

14	12668
11	12584
12	12495
13	12253

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	100000
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	11
2nd row	12
3rd row	11
4th row	13
5th row	12

Common Values

Value	Count	Frequency (%)
14	12668	25.3%
11	12584	25.2%
12	12495	25.0%
13	12253	24.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
14	12668	25.3%
11	12584	25.2%
12	12495	25.0%
13	12253	24.5%

Most occurring characters

Value	Count	Frequency (%)
1	62584	62.6%
4	12668	12.7%
2	12495	12.5%
3	12253	12.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	62584	62.6%
4	12668	12.7%
2	12495	12.5%
3	12253	12.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	62584	62.6%
4	12668	12.7%
2	12495	12.5%
3	12253	12.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	62584	62.6%
4	12668	12.7%
2	12495	12.5%
3	12253	12.3%

App Name
Text

Distinct	49920
Distinct (%)	99.8%
Missing	0
Missing (%)	0.0%
Memory size	4.9 MiB

Length

Max length	77
Median length	68
Mean length	44.97746
Min length	24

Characters and Unicode

Total characters	2248873
Distinct characters	57
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	49840 ?
Unique (%)	99.7%

Sample

1st row	Sharable Bifurcated Algorithm Action
2nd row	Self-Enabling Regional Hierarchy Online Courses
3rd row	Fully-Configurable Value-Added Open Architecture Kids Learning
4th row	Robust Dedicated Collaboration To-Do List
5th row	Face-To-Face 24Hour Archive Language Learning

Value	Count	Frequency (%)
learning	6674	2.8%
live	3405	1.4%
streaming	3405	1.4%
saver	3389	1.4%
battery	3389	1.4%
messaging	3378	1.4%
file	3354	1.4%
manager	3354	1.4%
kids	3342	1.4%
cleaner	3336	1.4%
Other values (329)	203072	84.6%

Most occurring characters

Value	Count	Frequency (%)
e	243724	10.8%
	190098	8.5%
i	164406	7.3%
a	158577	7.1%
n	151038	6.7%
t	144118	6.4%
r	141991	6.3%
o	111028	4.9%
l	86095	3.8%
s	73052	3.2%
Other values (47)	784746	34.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2248873	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	243724	10.8%
	190098	8.5%
i	164406	7.3%
a	158577	7.1%
n	151038	6.7%
t	144118	6.4%
r	141991	6.3%
o	111028	4.9%
l	86095	3.8%
s	73052	3.2%
Other values (47)	784746	34.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2248873	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	243724	10.8%
	190098	8.5%
i	164406	7.3%
a	158577	7.1%
n	151038	6.7%
t	144118	6.4%
r	141991	6.3%
o	111028	4.9%
l	86095	3.8%
s	73052	3.2%
Other values (47)	784746	34.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2248873	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	243724	10.8%
	190098	8.5%
i	164406	7.3%
a	158577	7.1%
n	151038	6.7%
t	144118	6.4%
r	141991	6.3%
o	111028	4.9%
l	86095	3.8%
s	73052	3.2%
Other values (47)	784746	34.9%

Developer
Text

Distinct	37143
Distinct (%)	74.3%
Missing	0
Missing (%)	0.0%
Memory size	3.5 MiB

Length

Max length	36
Median length	31
Mean length	16.5356
Min length	6

Characters and Unicode

Total characters	826780
Distinct characters	54
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	33109 ?
Unique (%)	66.2%

Sample

1st row	Lawrence-Pacheco
2nd row	Reid, Ferguson and Sanchez
3rd row	King, Tran and Dunlap
4th row	Martin, Rose and Obrien
5th row	Jordan, Henderson and Owens

Value	Count	Frequency (%)
and	19362	16.3%
plc	2796	2.3%
group	2766	2.3%
inc	2757	2.3%
sons	2734	2.3%
llc	2685	2.3%
ltd	2629	2.2%
smith	1392	1.2%
johnson	1105	0.9%
williams	922	0.8%
Other values (16798)	79837	67.1%

Most occurring characters

Value	Count	Frequency (%)
n	76592	9.3%
	68985	8.3%
a	68895	8.3%
e	60181	7.3%
r	54085	6.5%
o	52865	6.4%
s	39119	4.7%
d	36265	4.4%
l	36248	4.4%
i	33353	4.0%
Other values (44)	300192	36.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	826780	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	76592	9.3%
	68985	8.3%
a	68895	8.3%
e	60181	7.3%
r	54085	6.5%
o	52865	6.4%
s	39119	4.7%
d	36265	4.4%
l	36248	4.4%
i	33353	4.0%
Other values (44)	300192	36.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	826780	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	76592	9.3%
	68985	8.3%
a	68895	8.3%
e	60181	7.3%
r	54085	6.5%
o	52865	6.4%
s	39119	4.7%
d	36265	4.4%
l	36248	4.4%
i	33353	4.0%
Other values (44)	300192	36.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	826780	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	76592	9.3%
	68985	8.3%
a	68895	8.3%
e	60181	7.3%
r	54085	6.5%
o	52865	6.4%
s	39119	4.7%
d	36265	4.4%
l	36248	4.4%
i	33353	4.0%
Other values (44)	300192	36.3%

Category
Categorical

High correlation

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.1 MiB

Tools	10079
Social	10006
Games	9993
Education	9972
Productivity	9950

Length

Max length	12
Median length	9
Mean length	7.39088
Min length	5

Characters and Unicode

Total characters	369544
Distinct characters	20
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Games
2nd row	Education
3rd row	Education
4th row	Productivity
5th row	Education

Common Values

Value	Count	Frequency (%)
Tools	10079	20.2%
Social	10006	20.0%
Games	9993	20.0%
Education	9972	19.9%
Productivity	9950	19.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
tools	10079	20.2%
social	10006	20.0%
games	9993	20.0%
education	9972	19.9%
productivity	9950	19.9%

Most occurring characters

Value	Count	Frequency (%)
o	50086	13.6%
i	39878	10.8%
a	29971	8.1%
c	29928	8.1%
t	29872	8.1%
l	20085	5.4%
s	20072	5.4%
d	19922	5.4%
u	19922	5.4%
T	10079	2.7%
Other values (10)	99729	27.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	369544	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	50086	13.6%
i	39878	10.8%
a	29971	8.1%
c	29928	8.1%
t	29872	8.1%
l	20085	5.4%
s	20072	5.4%
d	19922	5.4%
u	19922	5.4%
T	10079	2.7%
Other values (10)	99729	27.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	369544	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	50086	13.6%
i	39878	10.8%
a	29971	8.1%
c	29928	8.1%
t	29872	8.1%
l	20085	5.4%
s	20072	5.4%
d	19922	5.4%
u	19922	5.4%
T	10079	2.7%
Other values (10)	99729	27.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	369544	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	50086	13.6%
i	39878	10.8%
a	29971	8.1%
c	29928	8.1%
t	29872	8.1%
l	20085	5.4%
s	20072	5.4%
d	19922	5.4%
u	19922	5.4%
T	10079	2.7%
Other values (10)	99729	27.0%

Sub_Category
Categorical

High correlation

Distinct	17
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.2 MiB

Live Streaming	3405
Battery Saver	3389
Messaging	3378
File Manager	3354
Kids Learning	3342
Other values (12)	33132

Length

Max length	17
Median length	12
Mean length	10.55826
Min length	3

Characters and Unicode

Total characters	527913
Distinct characters	36
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Action
2nd row	Online Courses
3rd row	Kids Learning
4th row	To-Do List
5th row	Language Learning

Common Values

Value	Count	Frequency (%)
Live Streaming	3405	6.8%
Battery Saver	3389	6.8%
Messaging	3378	6.8%
File Manager	3354	6.7%
Kids Learning	3342	6.7%
Cleaner	3336	6.7%
Language Learning	3332	6.7%
Note Taking	3329	6.7%
To-Do List	3323	6.6%
Online Courses	3298	6.6%
Other values (7)	16514	33.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
learning	6674	8.3%
live	3405	4.3%
streaming	3405	4.3%
saver	3389	4.2%
battery	3389	4.2%
messaging	3378	4.2%
file	3354	4.2%
manager	3354	4.2%
kids	3342	4.2%
cleaner	3336	4.2%
Other values (15)	42969	53.7%

Most occurring characters

Value	Count	Frequency (%)
e	57592	10.9%
a	55994	10.6%
n	48570	9.2%
i	38702	7.3%
g	35390	6.7%
r	35351	6.7%
	29995	5.7%
t	25999	4.9%
s	21976	4.2%
o	21690	4.1%
Other values (26)	156654	29.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	527913	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	57592	10.9%
a	55994	10.6%
n	48570	9.2%
i	38702	7.3%
g	35390	6.7%
r	35351	6.7%
	29995	5.7%
t	25999	4.9%
s	21976	4.2%
o	21690	4.1%
Other values (26)	156654	29.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	527913	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	57592	10.9%
a	55994	10.6%
n	48570	9.2%
i	38702	7.3%
g	35390	6.7%
r	35351	6.7%
	29995	5.7%
t	25999	4.9%
s	21976	4.2%
o	21690	4.1%
Other values (26)	156654	29.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	527913	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	57592	10.9%
a	55994	10.6%
n	48570	9.2%
i	38702	7.3%
g	35390	6.7%
r	35351	6.7%
	29995	5.7%
t	25999	4.9%
s	21976	4.2%
o	21690	4.1%
Other values (26)	156654	29.7%

Free/Paid
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.9 MiB

Paid	25144
Free	24856

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	200000
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Free
2nd row	Free
3rd row	Free
4th row	Free
5th row	Free

Common Values

Value	Count	Frequency (%)
Paid	25144	50.3%
Free	24856	49.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
paid	25144	50.3%
free	24856	49.7%

Most occurring characters

Value	Count	Frequency (%)
e	49712	24.9%
a	25144	12.6%
P	25144	12.6%
i	25144	12.6%
d	25144	12.6%
F	24856	12.4%
r	24856	12.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	200000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	49712	24.9%
a	25144	12.6%
P	25144	12.6%
i	25144	12.6%
d	25144	12.6%
F	24856	12.4%
r	24856	12.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	200000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	49712	24.9%
a	25144	12.6%
P	25144	12.6%
i	25144	12.6%
d	25144	12.6%
F	24856	12.4%
r	24856	12.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	200000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	49712	24.9%
a	25144	12.6%
P	25144	12.6%
i	25144	12.6%
d	25144	12.6%
F	24856	12.4%
r	24856	12.4%

In-App Purchases
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	49.0 KiB

False	25066
True	24934

Value	Count	Frequency (%)
False	25066	50.1%
True	24934	49.9%

App Size (MB)
Real number (ℝ)

Distinct	31442
Distinct (%)	62.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	252.28543

Minimum	5.0100002
Maximum	499.98999
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	5.0100002
5-th percentile	29.8195
Q1	127.76
median	253.645
Q3	376.3125
95-th percentile	475.471
Maximum	499.98999
Range	494.97999
Interquartile range (IQR)	248.5525

Descriptive statistics

Standard deviation	143.00901
Coefficient of variation (CV)	0.56685403
Kurtosis	-1.2029449
Mean	252.28543
Median Absolute Deviation (MAD)	124.145
Skewness	0.000900386
Sum	12614271
Variance	20451.577
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
258.0700073	8	< 0.1%
292.0700073	7	< 0.1%
187.4700012	7	< 0.1%
260.6199951	6	< 0.1%
427.269989	6	< 0.1%
283.769989	6	< 0.1%
227.8099976	6	< 0.1%
91.33000183	6	< 0.1%
244.2799988	6	< 0.1%
122.9599991	6	< 0.1%
Other values (31432)	49936	99.9%

Value	Count	Frequency (%)
5.010000229	3	< 0.1%
5.019999981	1	< 0.1%
5.03000021	3	< 0.1%
5.050000191	1	< 0.1%
5.059999943	2	< 0.1%
5.070000172	1	< 0.1%
5.079999924	2	< 0.1%
5.099999905	1	< 0.1%
5.110000134	1	< 0.1%
5.119999886	2	< 0.1%

Value	Count	Frequency (%)
499.9899902	2	< 0.1%
499.9700012	1	< 0.1%
499.9599915	1	< 0.1%
499.9500122	1	< 0.1%
499.9400024	2	< 0.1%
499.9299927	1	< 0.1%
499.9100037	2	< 0.1%
499.8999939	2	< 0.1%
499.8900146	1	< 0.1%
499.8599854	1	< 0.1%

Total Installs
Real number (ℝ)

Distinct	49886
Distinct (%)	99.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5002030.5

Minimum	1419
Maximum	9999817
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	1419
5-th percentile	500625.75
Q1	2510841.2
median	5002246.5
Q3	7485859
95-th percentile	9506959.7
Maximum	9999817
Range	9998398
Interquartile range (IQR)	4975017.8

Descriptive statistics

Standard deviation	2883884.8
Coefficient of variation (CV)	0.57654283
Kurtosis	-1.1941868
Mean	5002030.5
Median Absolute Deviation (MAD)	2487724
Skewness	-0.0014673678
Sum	2.5010152 × 10¹¹
Variance	8.3167916 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5925552	2	< 0.1%
622374	2	< 0.1%
5003952	2	< 0.1%
9929255	2	< 0.1%
7419843	2	< 0.1%
8943167	2	< 0.1%
5417227	2	< 0.1%
1063926	2	< 0.1%
618870	2	< 0.1%
9621757	2	< 0.1%
Other values (49876)	49980	> 99.9%

Value	Count	Frequency (%)
1419	1	< 0.1%
1686	1	< 0.1%
1804	1	< 0.1%
1930	1	< 0.1%
1969	1	< 0.1%
1998	1	< 0.1%
2780	1	< 0.1%
2887	1	< 0.1%
2978	1	< 0.1%
3789	1	< 0.1%

Value	Count	Frequency (%)
9999817	1	< 0.1%
9999752	1	< 0.1%
9999369	1	< 0.1%
9998848	1	< 0.1%
9998699	1	< 0.1%
9998500	1	< 0.1%
9998390	1	< 0.1%
9998306	1	< 0.1%
9998285	1	< 0.1%
9998263	1	< 0.1%

Transaction ID
Text

Unique

Distinct	50000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	4.4 MiB

Length

Max length	36
Median length	36
Mean length	36
Min length	36

Characters and Unicode

Total characters	1800000
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	50000 ?
Unique (%)	100.0%

Sample

1st row	28df6ec4-ce4a-4bbd-8241-330b01a9e71f
2nd row	fd5166e6-451b-4cf3-a123-fdf77656af72
3rd row	ae849217-1d53-434b-b881-39b9ae270da7
4th row	8a0f4efb-edcd-465e-b638-6821f6e07cc0
5th row	a748dbcf-ac61-4e63-8dde-29a6baa4b71a

Value	Count	Frequency (%)
87e5f0fe-5da8-46d2-b8b3-8a8be05fb8bc	1	< 0.1%
43d0a77d-5680-4454-9a12-2ecdebdb8bc7	1	< 0.1%
28df6ec4-ce4a-4bbd-8241-330b01a9e71f	1	< 0.1%
fd5166e6-451b-4cf3-a123-fdf77656af72	1	< 0.1%
ae849217-1d53-434b-b881-39b9ae270da7	1	< 0.1%
8a0f4efb-edcd-465e-b638-6821f6e07cc0	1	< 0.1%
a748dbcf-ac61-4e63-8dde-29a6baa4b71a	1	< 0.1%
f512c4c3-b253-4218-ac4a-37ea490617f2	1	< 0.1%
9f044aed-7552-4327-8262-7f7312922f83	1	< 0.1%
d450281c-6c6f-4633-a260-772317a0df49	1	< 0.1%
Other values (49990)	49990	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
-	200000	11.1%
4	143308	8.0%
a	106498	5.9%
8	106456	5.9%
9	106015	5.9%
b	105510	5.9%
5	94232	5.2%
d	94222	5.2%
0	94152	5.2%
e	94022	5.2%
Other values (7)	655585	36.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1800000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
-	200000	11.1%
4	143308	8.0%
a	106498	5.9%
8	106456	5.9%
9	106015	5.9%
b	105510	5.9%
5	94232	5.2%
d	94222	5.2%
0	94152	5.2%
e	94022	5.2%
Other values (7)	655585	36.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1800000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
-	200000	11.1%
4	143308	8.0%
a	106498	5.9%
8	106456	5.9%
9	106015	5.9%
b	105510	5.9%
5	94232	5.2%
d	94222	5.2%
0	94152	5.2%
e	94022	5.2%
Other values (7)	655585	36.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1800000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
-	200000	11.1%
4	143308	8.0%
a	106498	5.9%
8	106456	5.9%
9	106015	5.9%
b	105510	5.9%
5	94232	5.2%
d	94222	5.2%
0	94152	5.2%
e	94022	5.2%
Other values (7)	655585	36.4%

Transaction Type
Categorical

High correlation

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.2 MiB

Subscription	10111
Refund	10022
Install	10003
Ad Click	9986
In-App Purchase	9878

Length

Max length	15
Median length	8
Mean length	9.59086
Min length	6

Characters and Unicode

Total characters	479543
Distinct characters	25
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Install
2nd row	Refund
3rd row	Subscription
4th row	Ad Click
5th row	Install

Common Values

Value	Count	Frequency (%)
Subscription	10111	20.2%
Refund	10022	20.0%
Install	10003	20.0%
Ad Click	9986	20.0%
In-App Purchase	9878	19.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
subscription	10111	14.5%
refund	10022	14.3%
install	10003	14.3%
ad	9986	14.3%
click	9986	14.3%
in-app	9878	14.1%
purchase	9878	14.1%

Most occurring characters

Value	Count	Frequency (%)
n	40014	8.3%
i	30208	6.3%
u	30011	6.3%
l	29992	6.3%
s	29992	6.3%
c	29975	6.3%
p	29867	6.2%
t	20114	4.2%
d	20008	4.2%
r	19989	4.2%
Other values (15)	199373	41.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	479543	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	40014	8.3%
i	30208	6.3%
u	30011	6.3%
l	29992	6.3%
s	29992	6.3%
c	29975	6.3%
p	29867	6.2%
t	20114	4.2%
d	20008	4.2%
r	19989	4.2%
Other values (15)	199373	41.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	479543	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	40014	8.3%
i	30208	6.3%
u	30011	6.3%
l	29992	6.3%
s	29992	6.3%
c	29975	6.3%
p	29867	6.2%
t	20114	4.2%
d	20008	4.2%
r	19989	4.2%
Other values (15)	199373	41.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	479543	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	40014	8.3%
i	30208	6.3%
u	30011	6.3%
l	29992	6.3%
s	29992	6.3%
c	29975	6.3%
p	29867	6.2%
t	20114	4.2%
d	20008	4.2%
r	19989	4.2%
Other values (15)	199373	41.6%

App/Game Price
Real number (ℝ)

High correlation Zeros

Distinct	4870
Distinct (%)	9.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.847159

Minimum	0
Maximum	49.990002
Zeros	24856
Zeros (%)	49.7%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1.27
Q3	25.66
95-th percentile	45.119999
Maximum	49.990002
Range	49.990002
Interquartile range (IQR)	25.66

Descriptive statistics

Standard deviation	16.236434
Coefficient of variation (CV)	1.2638151
Kurtosis	-0.7014444
Mean	12.847159
Median Absolute Deviation (MAD)	1.27
Skewness	0.88756202
Sum	642357.95
Variance	263.62179
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	24856	49.7%
4	14	< 0.1%
21.88999939	14	< 0.1%
33.70999908	14	< 0.1%
42.54999924	13	< 0.1%
21.07999992	13	< 0.1%
33.09000015	13	< 0.1%
27.62000084	13	< 0.1%
48.27999878	12	< 0.1%
31.86000061	12	< 0.1%
Other values (4860)	25026	50.1%

Value	Count	Frequency (%)
0	24856	49.7%
0.9900000095	2	< 0.1%
1	4	< 0.1%
1.00999999	9	< 0.1%
1.019999981	5	< 0.1%
1.029999971	6	< 0.1%
1.039999962	6	< 0.1%
1.049999952	5	< 0.1%
1.059999943	5	< 0.1%
1.070000052	6	< 0.1%

Value	Count	Frequency (%)
49.99000168	4	< 0.1%
49.97999954	3	< 0.1%
49.97000122	4	< 0.1%
49.95999908	5	< 0.1%
49.95000076	6	< 0.1%
49.93999863	4	< 0.1%
49.93000031	5	< 0.1%
49.91999817	9	< 0.1%
49.90999985	5	< 0.1%
49.90000153	6	< 0.1%

Discount Applied
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	49.0 KiB

True	25113
False	24887

Value	Count	Frequency (%)
True	25113	50.2%
False	24887	49.8%

Promo Code Used
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	49.0 KiB

False	25019
True	24981

Value	Count	Frequency (%)
False	25019	50.0%
True	24981	50.0%

Price Paid (with Coupon)
Real number (ℝ)

High correlation Zeros

Distinct	4556
Distinct (%)	9.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.513597

Minimum	0
Maximum	49.990002
Zeros	24856
Zeros (%)	49.7%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0.685
Q3	14.87
95-th percentile	33.73
Maximum	49.990002
Range	49.990002
Interquartile range (IQR)	14.87

Descriptive statistics

Standard deviation	11.79275
Coefficient of variation (CV)	1.3851666
Kurtosis	1.1881531
Mean	8.513597
Median Absolute Deviation (MAD)	0.685
Skewness	1.4022617
Sum	425679.85
Variance	139.06896
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	24856	49.7%
6.099999905	20	< 0.1%
4.679999828	19	< 0.1%
4	19	< 0.1%
11.10999966	18	< 0.1%
5.309999943	18	< 0.1%
6.71999979	18	< 0.1%
1.870000005	18	< 0.1%
13.82999992	18	< 0.1%
11.06000042	18	< 0.1%
Other values (4546)	24978	50.0%

Value	Count	Frequency (%)
0	24856	49.7%
0.3300000131	2	< 0.1%
0.3400000036	2	< 0.1%
0.349999994	1	< 0.1%
0.3600000143	1	< 0.1%
0.3799999952	3	< 0.1%
0.3899999857	3	< 0.1%
0.400000006	1	< 0.1%
0.4099999964	5	< 0.1%
0.4199999869	6	< 0.1%

Value	Count	Frequency (%)
49.99000168	1	< 0.1%
49.97999954	1	< 0.1%
49.97000122	1	< 0.1%
49.95999908	1	< 0.1%
49.93999863	2	< 0.1%
49.93000031	2	< 0.1%
49.91999817	2	< 0.1%
49.90000153	1	< 0.1%
49.88000107	3	< 0.1%
49.86999893	1	< 0.1%

Amount Spent on In-App Purchases
Real number (ℝ)

High correlation Zeros

Distinct	10380
Distinct (%)	20.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	25.203438

Minimum	0
Maximum	200
Zeros	30011
Zeros (%)	60.0%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	30.85
95-th percentile	150.2805
Maximum	200
Range	200
Interquartile range (IQR)	30.85

Descriptive statistics

Standard deviation	46.952512
Coefficient of variation (CV)	1.8629408
Kurtosis	3.820566
Mean	25.203438
Median Absolute Deviation (MAD)	0
Skewness	2.1704855
Sum	1260171.9
Variance	2204.5384
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	30011	60.0%
32.38000107	10	< 0.1%
47.91999817	10	< 0.1%
24	9	< 0.1%
25.46999931	9	< 0.1%
25.22999954	9	< 0.1%
26.17000008	9	< 0.1%
38.43000031	9	< 0.1%
40.34000015	9	< 0.1%
36.59999847	9	< 0.1%
Other values (10370)	19906	39.8%

Value	Count	Frequency (%)
0	30011	60.0%
1	1	< 0.1%
1.029999971	2	< 0.1%
1.049999952	1	< 0.1%
1.059999943	2	< 0.1%
1.100000024	1	< 0.1%
1.110000014	1	< 0.1%
1.120000005	1	< 0.1%
1.139999986	2	< 0.1%
1.230000019	1	< 0.1%

Value	Count	Frequency (%)
200	1	< 0.1%
199.9700012	1	< 0.1%
199.9400024	2	< 0.1%
199.9299927	1	< 0.1%
199.8999939	1	< 0.1%
199.8899994	1	< 0.1%
199.8699951	1	< 0.1%
199.8600006	1	< 0.1%
199.8399963	1	< 0.1%
199.8200073	2	< 0.1%

Time Spent (min)
Real number (ℝ)

Distinct	301
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	149.33374

Minimum	0
Maximum	300
Zeros	187
Zeros (%)	0.4%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	0
5-th percentile	14
Q1	74
median	149
Q3	224
95-th percentile	285
Maximum	300
Range	300
Interquartile range (IQR)	150

Descriptive statistics

Standard deviation	86.818823
Coefficient of variation (CV)	0.58137446
Kurtosis	-1.1928845
Mean	149.33374
Median Absolute Deviation (MAD)	75
Skewness	0.0092253824
Sum	7466687
Variance	7537.5079
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
59	205	0.4%
34	200	0.4%
189	198	0.4%
128	197	0.4%
169	196	0.4%
237	194	0.4%
71	194	0.4%
206	190	0.4%
239	190	0.4%
10	189	0.4%
Other values (291)	48047	96.1%

Value	Count	Frequency (%)
0	187	0.4%
1	183	0.4%
2	159	0.3%
3	167	0.3%
4	176	0.4%
5	189	0.4%
6	162	0.3%
7	157	0.3%
8	168	0.3%
9	162	0.3%

Value	Count	Frequency (%)
300	185	0.4%
299	169	0.3%
298	160	0.3%
297	157	0.3%
296	167	0.3%
295	149	0.3%
294	168	0.3%
293	162	0.3%
292	164	0.3%
291	170	0.3%

Session Count
Real number (ℝ)

Distinct	50
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	25.60462

Minimum	1
Maximum	50
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	13
median	26
Q3	38
95-th percentile	48
Maximum	50
Range	49
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	14.425025
Coefficient of variation (CV)	0.56337585
Kurtosis	-1.198272
Mean	25.60462
Median Absolute Deviation (MAD)	12
Skewness	-0.007801641
Sum	1280231
Variance	208.08134
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
32	1058	2.1%
41	1048	2.1%
44	1047	2.1%
50	1045	2.1%
43	1041	2.1%
24	1041	2.1%
21	1040	2.1%
45	1038	2.1%
23	1037	2.1%
17	1034	2.1%
Other values (40)	39571	79.1%

Value	Count	Frequency (%)
1	1008	2.0%
2	963	1.9%
3	1003	2.0%
4	990	2.0%
5	983	2.0%
6	984	2.0%
7	999	2.0%
8	978	2.0%
9	1018	2.0%
10	947	1.9%

Value	Count	Frequency (%)
50	1045	2.1%
49	998	2.0%
48	977	2.0%
47	982	2.0%
46	1006	2.0%
45	1038	2.1%
44	1047	2.1%
43	1041	2.1%
42	977	2.0%
41	1048	2.1%

Time Since Last Use (days)
Real number (ℝ)

Zeros

Distinct	61
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	30.01516

Minimum	0
Maximum	60
Zeros	787
Zeros (%)	1.6%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	15
median	30
Q3	45
95-th percentile	57
Maximum	60
Range	60
Interquartile range (IQR)	30

Descriptive statistics

Standard deviation	17.626159
Coefficient of variation (CV)	0.58724186
Kurtosis	-1.2034141
Mean	30.01516
Median Absolute Deviation (MAD)	15
Skewness	-0.0027284516
Sum	1500758
Variance	310.68146
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
21	890	1.8%
40	882	1.8%
6	872	1.7%
49	871	1.7%
15	864	1.7%
60	864	1.7%
24	862	1.7%
5	861	1.7%
55	856	1.7%
39	855	1.7%
Other values (51)	41323	82.6%

Value	Count	Frequency (%)
0	787	1.6%
1	818	1.6%
2	827	1.7%
3	842	1.7%
4	796	1.6%
5	861	1.7%
6	872	1.7%
7	844	1.7%
8	837	1.7%
9	826	1.7%

Value	Count	Frequency (%)
60	864	1.7%
59	850	1.7%
58	767	1.5%
57	773	1.5%
56	812	1.6%
55	856	1.7%
54	844	1.7%
53	806	1.6%
52	804	1.6%
51	838	1.7%

Favorite Flag
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	49.0 KiB

False	25086
True	24914

Value	Count	Frequency (%)
False	25086	50.2%
True	24914	49.8%

Uninstalled
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	49.0 KiB

False	25169
True	24831

Value	Count	Frequency (%)
False	25169	50.3%
True	24831	49.7%

Date
Date

Distinct	96
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	390.8 KiB

Minimum	2025-01-01 00:00:00
Maximum	2025-04-06 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

Time
Date

Distinct	38012
Distinct (%)	76.0%
Missing	0
Missing (%)	0.0%
Memory size	390.8 KiB

Minimum	2025-04-07 00:00:01
Maximum	2025-04-07 23:59:59
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

Day of Week
Categorical

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.1 MiB

Sunday	7248
Tuesday	7196
Friday	7189
Wednesday	7128
Saturday	7107
Other values (2)	14132

Length

Max length	9
Median length	8
Mean length	7.13736
Min length	6

Characters and Unicode

Total characters	356868
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Sunday
2nd row	Sunday
3rd row	Saturday
4th row	Monday
5th row	Tuesday

Common Values

Value	Count	Frequency (%)
Sunday	7248	14.5%
Tuesday	7196	14.4%
Friday	7189	14.4%
Wednesday	7128	14.3%
Saturday	7107	14.2%
Monday	7095	14.2%
Thursday	7037	14.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
sunday	7248	14.5%
tuesday	7196	14.4%
friday	7189	14.4%
wednesday	7128	14.3%
saturday	7107	14.2%
monday	7095	14.2%
thursday	7037	14.1%

Most occurring characters

Value	Count	Frequency (%)
d	57128	16.0%
a	57107	16.0%
y	50000	14.0%
u	28588	8.0%
n	21471	6.0%
e	21452	6.0%
s	21361	6.0%
r	21333	6.0%
S	14355	4.0%
T	14233	4.0%
Other values (7)	49840	14.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	356868	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
d	57128	16.0%
a	57107	16.0%
y	50000	14.0%
u	28588	8.0%
n	21471	6.0%
e	21452	6.0%
s	21361	6.0%
r	21333	6.0%
S	14355	4.0%
T	14233	4.0%
Other values (7)	49840	14.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	356868	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
d	57128	16.0%
a	57107	16.0%
y	50000	14.0%
u	28588	8.0%
n	21471	6.0%
e	21452	6.0%
s	21361	6.0%
r	21333	6.0%
S	14355	4.0%
T	14233	4.0%
Other values (7)	49840	14.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	356868	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
d	57128	16.0%
a	57107	16.0%
y	50000	14.0%
u	28588	8.0%
n	21471	6.0%
e	21452	6.0%
s	21361	6.0%
r	21333	6.0%
S	14355	4.0%
T	14233	4.0%
Other values (7)	49840	14.0%

Weekend
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	49.0 KiB

True	25066
False	24934

Value	Count	Frequency (%)
True	25066	50.1%
False	24934	49.9%

Season
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.0 MiB

Autumn	12631
Summer	12535
Spring	12443
Winter	12391

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	300000
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Summer
2nd row	Spring
3rd row	Winter
4th row	Winter
5th row	Summer

Common Values

Value	Count	Frequency (%)
Autumn	12631	25.3%
Summer	12535	25.1%
Spring	12443	24.9%
Winter	12391	24.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
autumn	12631	25.3%
summer	12535	25.1%
spring	12443	24.9%
winter	12391	24.8%

Most occurring characters

Value	Count	Frequency (%)
u	37797	12.6%
m	37701	12.6%
n	37465	12.5%
r	37369	12.5%
t	25022	8.3%
S	24978	8.3%
e	24926	8.3%
i	24834	8.3%
A	12631	4.2%
p	12443	4.1%
Other values (2)	24834	8.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	300000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
u	37797	12.6%
m	37701	12.6%
n	37465	12.5%
r	37369	12.5%
t	25022	8.3%
S	24978	8.3%
e	24926	8.3%
i	24834	8.3%
A	12631	4.2%
p	12443	4.1%
Other values (2)	24834	8.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	300000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
u	37797	12.6%
m	37701	12.6%
n	37465	12.5%
r	37369	12.5%
t	25022	8.3%
S	24978	8.3%
e	24926	8.3%
i	24834	8.3%
A	12631	4.2%
p	12443	4.1%
Other values (2)	24834	8.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	300000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
u	37797	12.6%
m	37701	12.6%
n	37465	12.5%
r	37369	12.5%
t	25022	8.3%
S	24978	8.3%
e	24926	8.3%
i	24834	8.3%
A	12631	4.2%
p	12443	4.1%
Other values (2)	24834	8.3%

Rating
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.8 MiB

3	10182
5	10013
4	9995
2	9994
1	9816

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	50000
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4
2nd row	4
3rd row	4
4th row	2
5th row	3

Common Values

Value	Count	Frequency (%)
3	10182	20.4%
5	10013	20.0%
4	9995	20.0%
2	9994	20.0%
1	9816	19.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	10182	20.4%
5	10013	20.0%
4	9995	20.0%
2	9994	20.0%
1	9816	19.6%

Most occurring characters

Value	Count	Frequency (%)
3	10182	20.4%
5	10013	20.0%
4	9995	20.0%
2	9994	20.0%
1	9816	19.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	50000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
3	10182	20.4%
5	10013	20.0%
4	9995	20.0%
2	9994	20.0%
1	9816	19.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	50000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
3	10182	20.4%
5	10013	20.0%
4	9995	20.0%
2	9994	20.0%
1	9816	19.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	50000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
3	10182	20.4%
5	10013	20.0%
4	9995	20.0%
2	9994	20.0%
1	9816	19.6%

Review Text
Text

Unique

Distinct	50000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	5.7 MiB

Length

Max length	123
Median length	91
Mean length	62.49428
Min length	24

Characters and Unicode

Total characters	3124714
Distinct characters	52
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	50000 ?
Unique (%)	100.0%

Sample

1st row	Everyone democratic shake bill here grow gas enough analysis least.
2nd row	Detail food shoulder argue start source husband at tree note responsibility defense material.
3rd row	Shoulder future fall citizen about reveal rest will seven.
4th row	Require human public health tonight later easy ask.
5th row	Art rock song body court movie cell.

Value	Count	Frequency (%)
enjoy	564	0.1%
plant	559	0.1%
building	559	0.1%
place	557	0.1%
blood	554	0.1%
stuff	549	0.1%
fine	549	0.1%
ask	546	0.1%
successful	546	0.1%
conference	546	0.1%
Other values (961)	472253	98.8%

Most occurring characters

Value	Count	Frequency (%)
	427782	13.7%
e	350180	11.2%
t	208123	6.7%
r	202675	6.5%
a	199136	6.4%
o	187735	6.0%
i	182678	5.8%
n	172032	5.5%
s	143957	4.6%
l	130418	4.2%
Other values (42)	919998	29.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3124714	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	427782	13.7%
e	350180	11.2%
t	208123	6.7%
r	202675	6.5%
a	199136	6.4%
o	187735	6.0%
i	182678	5.8%
n	172032	5.5%
s	143957	4.6%
l	130418	4.2%
Other values (42)	919998	29.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3124714	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	427782	13.7%
e	350180	11.2%
t	208123	6.7%
r	202675	6.5%
a	199136	6.4%
o	187735	6.0%
i	182678	5.8%
n	172032	5.5%
s	143957	4.6%
l	130418	4.2%
Other values (42)	919998	29.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3124714	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	427782	13.7%
e	350180	11.2%
t	208123	6.7%
r	202675	6.5%
a	199136	6.4%
o	187735	6.0%
i	182678	5.8%
n	172032	5.5%
s	143957	4.6%
l	130418	4.2%
Other values (42)	919998	29.4%

Review Sentiment
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.1 MiB

Negative	16755
Positive	16649
Neutral	16596

Length

Max length	8
Median length	8
Mean length	7.66808
Min length	7

Characters and Unicode

Total characters	383404
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Neutral
2nd row	Neutral
3rd row	Positive
4th row	Neutral
5th row	Negative

Common Values

Value	Count	Frequency (%)
Negative	16755	33.5%
Positive	16649	33.3%
Neutral	16596	33.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
negative	16755	33.5%
positive	16649	33.3%
neutral	16596	33.2%

Most occurring characters

Value	Count	Frequency (%)
e	66755	17.4%
i	50053	13.1%
t	50000	13.0%
v	33404	8.7%
N	33351	8.7%
a	33351	8.7%
g	16755	4.4%
P	16649	4.3%
o	16649	4.3%
s	16649	4.3%
Other values (3)	49788	13.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	383404	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	66755	17.4%
i	50053	13.1%
t	50000	13.0%
v	33404	8.7%
N	33351	8.7%
a	33351	8.7%
g	16755	4.4%
P	16649	4.3%
o	16649	4.3%
s	16649	4.3%
Other values (3)	49788	13.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	383404	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	66755	17.4%
i	50053	13.1%
t	50000	13.0%
v	33404	8.7%
N	33351	8.7%
a	33351	8.7%
g	16755	4.4%
P	16649	4.3%
o	16649	4.3%
s	16649	4.3%
Other values (3)	49788	13.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	383404	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	66755	17.4%
i	50053	13.1%
t	50000	13.0%
v	33404	8.7%
N	33351	8.7%
a	33351	8.7%
g	16755	4.4%
P	16649	4.3%
o	16649	4.3%
s	16649	4.3%
Other values (3)	49788	13.0%

Review Length
Real number (ℝ)

Distinct	281
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	160.05168

Minimum	20
Maximum	300
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	20
5-th percentile	34
Q1	90
median	160
Q3	230
95-th percentile	286
Maximum	300
Range	280
Interquartile range (IQR)	140

Descriptive statistics

Standard deviation	80.980031
Coefficient of variation (CV)	0.50596177
Kurtosis	-1.1990869
Mean	160.05168
Median Absolute Deviation (MAD)	70
Skewness	-0.0018714944
Sum	8002584
Variance	6557.7654
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
231	219	0.4%
120	213	0.4%
259	213	0.4%
170	209	0.4%
206	208	0.4%
54	208	0.4%
50	208	0.4%
293	207	0.4%
96	205	0.4%
107	205	0.4%
Other values (271)	47905	95.8%

Value	Count	Frequency (%)
20	168	0.3%
21	179	0.4%
22	201	0.4%
23	198	0.4%
24	180	0.4%
25	156	0.3%
26	151	0.3%
27	172	0.3%
28	166	0.3%
29	166	0.3%

Value	Count	Frequency (%)
300	159	0.3%
299	183	0.4%
298	192	0.4%
297	159	0.3%
296	162	0.3%
295	197	0.4%
294	163	0.3%
293	207	0.4%
292	174	0.3%
291	197	0.4%

Demographic Location
Text

Distinct	25343
Distinct (%)	50.7%
Missing	0
Missing (%)	0.0%
Memory size	3.3 MiB

Length

Max length	24
Median length	21
Mean length	12.06528
Min length	5

Characters and Unicode

Total characters	603264
Distinct characters	53
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16355 ?
Unique (%)	32.7%

Sample

1st row	South Christianport
2nd row	Thomasberg
3rd row	Port Colleenhaven
4th row	New Angelashire
5th row	West Steven

Value	Count	Frequency (%)
lake	3631	4.8%
east	3622	4.8%
new	3614	4.8%
port	3611	4.8%
south	3568	4.8%
west	3543	4.7%
north	3523	4.7%
michael	291	0.4%
john	204	0.3%
david	200	0.3%
Other values (14556)	49305	65.6%

Most occurring characters

Value	Count	Frequency (%)
e	57889	9.6%
t	47345	7.8%
r	47140	7.8%
a	46910	7.8%
o	41720	6.9%
h	33620	5.6%
n	32683	5.4%
i	29681	4.9%
s	28087	4.7%
	25112	4.2%
Other values (43)	213077	35.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	603264	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	57889	9.6%
t	47345	7.8%
r	47140	7.8%
a	46910	7.8%
o	41720	6.9%
h	33620	5.6%
n	32683	5.4%
i	29681	4.9%
s	28087	4.7%
	25112	4.2%
Other values (43)	213077	35.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	603264	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	57889	9.6%
t	47345	7.8%
r	47140	7.8%
a	46910	7.8%
o	41720	6.9%
h	33620	5.6%
n	32683	5.4%
i	29681	4.9%
s	28087	4.7%
	25112	4.2%
Other values (43)	213077	35.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	603264	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	57889	9.6%
t	47345	7.8%
r	47140	7.8%
a	46910	7.8%
o	41720	6.9%
h	33620	5.6%
n	32683	5.4%
i	29681	4.9%
s	28087	4.7%
	25112	4.2%
Other values (43)	213077	35.3%

State
Categorical

High correlation

Distinct	48
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.4 MiB

KwaZulu-Natal	1479
Western Cape	1442
Gauteng	1418
Île-de-France	1387
Provence-Alpes-Côte d'Azur	1384
Other values (43)	42890

Length

Max length	26
Median length	17
Mean length	10.0505
Min length	5

Characters and Unicode

Total characters	502525
Distinct characters	57
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Gauteng
2nd row	Kyoto
3rd row	Beijing
4th row	Osaka
5th row	KwaZulu-Natal

Common Values

Value	Count	Frequency (%)
KwaZulu-Natal	1479	3.0%
Western Cape	1442	2.9%
Gauteng	1418	2.8%
Île-de-France	1387	2.8%
Provence-Alpes-Côte d'Azur	1384	2.8%
Auvergne-Rhône-Alpes	1377	2.8%
Tokyo	1102	2.2%
Queensland	1101	2.2%
Bahia	1092	2.2%
Jalisco	1090	2.2%
Other values (38)	37128	74.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
western	2412	3.6%
wales	2069	3.1%
new	1889	2.8%
kwazulu-natal	1479	2.2%
cape	1442	2.1%
gauteng	1418	2.1%
île-de-france	1387	2.0%
provence-alpes-côte	1384	2.0%
d'azur	1384	2.0%
auvergne-rhône-alpes	1377	2.0%
Other values (52)	51542	76.0%

Most occurring characters

Value	Count	Frequency (%)
a	56174	11.2%
e	48085	9.6%
i	30873	6.1%
n	30642	6.1%
r	29006	5.8%
o	26599	5.3%
l	26545	5.3%
t	22383	4.5%
u	19346	3.8%
s	19001	3.8%
Other values (47)	193871	38.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	502525	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	56174	11.2%
e	48085	9.6%
i	30873	6.1%
n	30642	6.1%
r	29006	5.8%
o	26599	5.3%
l	26545	5.3%
t	22383	4.5%
u	19346	3.8%
s	19001	3.8%
Other values (47)	193871	38.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	502525	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	56174	11.2%
e	48085	9.6%
i	30873	6.1%
n	30642	6.1%
r	29006	5.8%
o	26599	5.3%
l	26545	5.3%
t	22383	4.5%
u	19346	3.8%
s	19001	3.8%
Other values (47)	193871	38.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	502525	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	56174	11.2%
e	48085	9.6%
i	30873	6.1%
n	30642	6.1%
r	29006	5.8%
o	26599	5.3%
l	26545	5.3%
t	22383	4.5%
u	19346	3.8%
s	19001	3.8%
Other values (47)	193871	38.6%

Country
Categorical

High correlation

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.0 MiB

South Africa	4339
India	4239
USA	4203
Brazil	4194
Mexico	4190
Other values (7)	28835

Length

Max length	12
Median length	9
Mean length	6.02616
Min length	2

Characters and Unicode

Total characters	301308
Distinct characters	31
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	South Africa
2nd row	Japan
3rd row	China
4th row	Japan
5th row	South Africa

Common Values

Value	Count	Frequency (%)
South Africa	4339	8.7%
India	4239	8.5%
USA	4203	8.4%
Brazil	4194	8.4%
Mexico	4190	8.4%
Australia	4187	8.4%
Japan	4161	8.3%
China	4155	8.3%
France	4148	8.3%
Germany	4093	8.2%
Other values (2)	8091	16.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
south	4339	8.0%
africa	4339	8.0%
india	4239	7.8%
usa	4203	7.7%
brazil	4194	7.7%
mexico	4190	7.7%
australia	4187	7.7%
japan	4161	7.7%
china	4155	7.6%
france	4148	7.6%
Other values (3)	12184	22.4%

Most occurring characters

Value	Count	Frequency (%)
a	53975	17.9%
i	25304	8.4%
n	24833	8.2%
r	20961	7.0%
A	12729	4.2%
c	12677	4.2%
e	12431	4.1%
S	8542	2.8%
o	8529	2.8%
t	8526	2.8%
Other values (21)	112801	37.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	301308	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	53975	17.9%
i	25304	8.4%
n	24833	8.2%
r	20961	7.0%
A	12729	4.2%
c	12677	4.2%
e	12431	4.1%
S	8542	2.8%
o	8529	2.8%
t	8526	2.8%
Other values (21)	112801	37.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	301308	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	53975	17.9%
i	25304	8.4%
n	24833	8.2%
r	20961	7.0%
A	12729	4.2%
c	12677	4.2%
e	12431	4.1%
S	8542	2.8%
o	8529	2.8%
t	8526	2.8%
Other values (21)	112801	37.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	301308	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	53975	17.9%
i	25304	8.4%
n	24833	8.2%
r	20961	7.0%
A	12729	4.2%
c	12677	4.2%
e	12431	4.1%
S	8542	2.8%
o	8529	2.8%
t	8526	2.8%
Other values (21)	112801	37.4%

Region
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.2 MiB

North America	10074
Europe	10026
Southeast Asia	10000
Africa	9962
South America	9938

Length

Max length	14
Median length	13
Mean length	10.40168
Min length	6

Characters and Unicode

Total characters	520084
Distinct characters	18
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Europe
2nd row	Southeast Asia
3rd row	Europe
4th row	Southeast Asia
5th row	Europe

Common Values

Value	Count	Frequency (%)
North America	10074	20.1%
Europe	10026	20.1%
Southeast Asia	10000	20.0%
Africa	9962	19.9%
South America	9938	19.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
america	20012	25.0%
north	10074	12.6%
europe	10026	12.5%
southeast	10000	12.5%
asia	10000	12.5%
africa	9962	12.5%
south	9938	12.4%

Most occurring characters

Value	Count	Frequency (%)
r	50074	9.6%
a	49974	9.6%
e	40038	7.7%
o	40038	7.7%
t	40012	7.7%
i	39974	7.7%
A	39974	7.7%
	30012	5.8%
h	30012	5.8%
c	29974	5.8%
Other values (8)	130002	25.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	520084	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	50074	9.6%
a	49974	9.6%
e	40038	7.7%
o	40038	7.7%
t	40012	7.7%
i	39974	7.7%
A	39974	7.7%
	30012	5.8%
h	30012	5.8%
c	29974	5.8%
Other values (8)	130002	25.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	520084	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	50074	9.6%
a	49974	9.6%
e	40038	7.7%
o	40038	7.7%
t	40012	7.7%
i	39974	7.7%
A	39974	7.7%
	30012	5.8%
h	30012	5.8%
c	29974	5.8%
Other values (8)	130002	25.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	520084	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	50074	9.6%
a	49974	9.6%
e	40038	7.7%
o	40038	7.7%
t	40012	7.7%
i	39974	7.7%
A	39974	7.7%
	30012	5.8%
h	30012	5.8%
c	29974	5.8%
Other values (8)	130002	25.0%

Play Pass Plan
Categorical

High correlation Missing

Distinct	3
Distinct (%)	< 0.1%
Missing	12596
Missing (%)	25.2%
Memory size	3.0 MiB

yearly	12564
one_month	12524
monthly	12316

Length

Max length	9
Median length	7
Mean length	7.3337611
Min length	6

Characters and Unicode

Total characters	274312
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	monthly
2nd row	one_month
3rd row	yearly
4th row	yearly
5th row	one_month

Common Values

Value	Count	Frequency (%)
yearly	12564	25.1%
one_month	12524	25.0%
monthly	12316	24.6%
(Missing)	12596	25.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
yearly	12564	33.6%
one_month	12524	33.5%
monthly	12316	32.9%

Most occurring characters

Value	Count	Frequency (%)
y	37444	13.7%
o	37364	13.6%
n	37364	13.6%
e	25088	9.1%
l	24880	9.1%
h	24840	9.1%
m	24840	9.1%
t	24840	9.1%
a	12564	4.6%
r	12564	4.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	274312	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
y	37444	13.7%
o	37364	13.6%
n	37364	13.6%
e	25088	9.1%
l	24880	9.1%
h	24840	9.1%
m	24840	9.1%
t	24840	9.1%
a	12564	4.6%
r	12564	4.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	274312	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
y	37444	13.7%
o	37364	13.6%
n	37364	13.6%
e	25088	9.1%
l	24880	9.1%
h	24840	9.1%
m	24840	9.1%
t	24840	9.1%
a	12564	4.6%
r	12564	4.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	274312	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
y	37444	13.7%
o	37364	13.6%
n	37364	13.6%
e	25088	9.1%
l	24880	9.1%
h	24840	9.1%
m	24840	9.1%
t	24840	9.1%
a	12564	4.6%
r	12564	4.6%

Play Pass User
Boolean

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	49.0 KiB

True	37404
False	12596

Value	Count	Frequency (%)
True	37404	74.8%
False	12596	25.2%

Subscription Duration
Real number (ℝ)

Zeros

Distinct	25
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.01206

Minimum	0
Maximum	24
Zeros	1967
Zeros (%)	3.9%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	6
median	12
Q3	18
95-th percentile	23
Maximum	24
Range	24
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	7.1962289
Coefficient of variation (CV)	0.59908366
Kurtosis	-1.199153
Mean	12.01206
Median Absolute Deviation (MAD)	6
Skewness	-0.0013179261
Sum	600603
Variance	51.78571
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=25)

Value	Count	Frequency (%)
23	2119	4.2%
14	2060	4.1%
11	2056	4.1%
10	2051	4.1%
16	2042	4.1%
17	2038	4.1%
5	2035	4.1%
6	2032	4.1%
19	2024	4.0%
20	2018	4.0%
Other values (15)	29525	59.1%

Value	Count	Frequency (%)
0	1967	3.9%
1	1977	4.0%
2	1997	4.0%
3	1978	4.0%
4	2004	4.0%
5	2035	4.1%
6	2032	4.1%
7	1930	3.9%
8	1999	4.0%
9	1954	3.9%

Value	Count	Frequency (%)
24	1946	3.9%
23	2119	4.2%
22	1954	3.9%
21	1915	3.8%
20	2018	4.0%
19	2024	4.0%
18	1966	3.9%
17	2038	4.1%
16	2042	4.1%
15	1952	3.9%

Auto-Renew
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	49.0 KiB

True	25046
False	24954

Value	Count	Frequency (%)
True	25046	50.1%
False	24954	49.9%

App Tags
Categorical

Distinct	20
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.5 MiB

Editor’s Choice, Multiplayer	2567
Family Friendly, AR Support	2564
Offline, Family Friendly	2552
Multiplayer, AR Support	2543
Multiplayer, Offline	2533
Other values (15)	37241

Length

Max length	32
Median length	27
Mean length	25.2183
Min length	19

Characters and Unicode

Total characters	1260915
Distinct characters	28
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Offline, AR Support
2nd row	Editor’s Choice, Multiplayer
3rd row	AR Support, Family Friendly
4th row	AR Support, Offline
5th row	Editor’s Choice, Family Friendly

Common Values

Value	Count	Frequency (%)
Editor’s Choice, Multiplayer	2567	5.1%
Family Friendly, AR Support	2564	5.1%
Offline, Family Friendly	2552	5.1%
Multiplayer, AR Support	2543	5.1%
Multiplayer, Offline	2533	5.1%
Editor’s Choice, AR Support	2530	5.1%
Family Friendly, Editor’s Choice	2528	5.1%
Editor’s Choice, Family Friendly	2527	5.1%
AR Support, Family Friendly	2525	5.1%
AR Support, Multiplayer	2513	5.0%
Other values (10)	24618	49.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
family	20061	12.5%
friendly	20061	12.5%
multiplayer	20042	12.5%
choice	20026	12.5%
editor’s	20026	12.5%
ar	20017	12.5%
support	20017	12.5%
offline	19854	12.4%

Most occurring characters

Value	Count	Frequency (%)
i	120070	9.5%
	110104	8.7%
l	100060	7.9%
r	80146	6.4%
e	79983	6.3%
y	60164	4.8%
t	60085	4.8%
p	60076	4.8%
o	60069	4.8%
,	50000	4.0%
Other values (18)	480158	38.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1260915	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	120070	9.5%
	110104	8.7%
l	100060	7.9%
r	80146	6.4%
e	79983	6.3%
y	60164	4.8%
t	60085	4.8%
p	60076	4.8%
o	60069	4.8%
,	50000	4.0%
Other values (18)	480158	38.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1260915	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	120070	9.5%
	110104	8.7%
l	100060	7.9%
r	80146	6.4%
e	79983	6.3%
y	60164	4.8%
t	60085	4.8%
p	60076	4.8%
o	60069	4.8%
,	50000	4.0%
Other values (18)	480158	38.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1260915	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	120070	9.5%
	110104	8.7%
l	100060	7.9%
r	80146	6.4%
e	79983	6.3%
y	60164	4.8%
t	60085	4.8%
p	60076	4.8%
o	60069	4.8%
,	50000	4.0%
Other values (18)	480158	38.1%

Age Rating
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.0 MiB

Teen	16735
Everyone	16665
18+	16600

Length

Max length	8
Median length	4
Mean length	5.0012
Min length	3

Characters and Unicode

Total characters	250060
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Teen
2nd row	18+
3rd row	18+
4th row	18+
5th row	18+

Common Values

Value	Count	Frequency (%)
Teen	16735	33.5%
Everyone	16665	33.3%
18+	16600	33.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
teen	16735	33.5%
everyone	16665	33.3%
18	16600	33.2%

Most occurring characters

Value	Count	Frequency (%)
e	66800	26.7%
n	33400	13.4%
T	16735	6.7%
E	16665	6.7%
v	16665	6.7%
r	16665	6.7%
y	16665	6.7%
o	16665	6.7%
1	16600	6.6%
8	16600	6.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	250060	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	66800	26.7%
n	33400	13.4%
T	16735	6.7%
E	16665	6.7%
v	16665	6.7%
r	16665	6.7%
y	16665	6.7%
o	16665	6.7%
1	16600	6.6%
8	16600	6.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	250060	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	66800	26.7%
n	33400	13.4%
T	16735	6.7%
E	16665	6.7%
v	16665	6.7%
r	16665	6.7%
y	16665	6.7%
o	16665	6.7%
1	16600	6.6%
8	16600	6.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	250060	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	66800	26.7%
n	33400	13.4%
T	16735	6.7%
E	16665	6.7%
v	16665	6.7%
r	16665	6.7%
y	16665	6.7%
o	16665	6.7%
1	16600	6.6%
8	16600	6.6%

Device Locale/Language
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.0 MiB

pt-BR	10112
hi-IN	10043
en-US	10001
de-DE	9992
en-GB	9852

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	250000
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	en-US
2nd row	pt-BR
3rd row	de-DE
4th row	pt-BR
5th row	pt-BR

Common Values

Value	Count	Frequency (%)
pt-BR	10112	20.2%
hi-IN	10043	20.1%
en-US	10001	20.0%
de-DE	9992	20.0%
en-GB	9852	19.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
pt-br	10112	20.2%
hi-in	10043	20.1%
en-us	10001	20.0%
de-de	9992	20.0%
en-gb	9852	19.7%

Most occurring characters

Value	Count	Frequency (%)
-	50000	20.0%
e	29845	11.9%
B	19964	8.0%
n	19853	7.9%
p	10112	4.0%
t	10112	4.0%
R	10112	4.0%
h	10043	4.0%
i	10043	4.0%
N	10043	4.0%
Other values (7)	69873	27.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	250000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
-	50000	20.0%
e	29845	11.9%
B	19964	8.0%
n	19853	7.9%
p	10112	4.0%
t	10112	4.0%
R	10112	4.0%
h	10043	4.0%
i	10043	4.0%
N	10043	4.0%
Other values (7)	69873	27.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	250000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
-	50000	20.0%
e	29845	11.9%
B	19964	8.0%
n	19853	7.9%
p	10112	4.0%
t	10112	4.0%
R	10112	4.0%
h	10043	4.0%
i	10043	4.0%
N	10043	4.0%
Other values (7)	69873	27.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	250000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
-	50000	20.0%
e	29845	11.9%
B	19964	8.0%
n	19853	7.9%
p	10112	4.0%
t	10112	4.0%
R	10112	4.0%
h	10043	4.0%
i	10043	4.0%
N	10043	4.0%
Other values (7)	69873	27.9%

Interactions

Correlations

	Age	Age Rating	Amount Spent on In-App Purchases	Android Version	App Size (MB)	App Tags	App/Game Price	Auto-Renew	Category	Country	Day of Week	Device Locale/Language	Device Type	Discount Applied	Favorite Flag	Free/Paid	Gender	ID	In-App Purchases	Income Level	Play Pass Plan	Play Pass User	Price Paid (with Coupon)	Promo Code Used	Rating	Region	Review Length	Review Sentiment	Season	Session Count	State	Sub_Category	Subscription Duration	Time Since Last Use (days)	Time Spent (min)	Total Installs	Transaction Type	Uninstalled	Weekend
Age	1.000	0.000	-0.008	0.000	0.009	0.000	-0.004	0.000	0.010	0.000	0.000	0.005	0.004	0.000	0.000	0.000	0.008	-0.003	0.000	0.000	0.012	0.000	-0.005	0.006	0.003	0.000	-0.003	0.000	0.000	0.000	0.000	0.009	0.008	0.002	-0.000	0.006	0.009	0.000	0.011
Age Rating	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.008	0.000	0.006	0.010	0.000	0.000	0.000	0.005	0.007	0.000	0.000	0.004	0.000	0.011	0.000	0.000	0.000	0.000	0.000	0.007	0.001	0.003	0.000	0.016	0.011	0.006	0.009	0.000	0.000	0.000	0.008	0.000
Amount Spent on In-App Purchases	-0.008	0.000	1.000	0.000	-0.009	0.009	-0.004	0.000	0.008	0.000	0.000	0.007	0.000	0.011	0.000	0.000	0.000	0.002	0.000	0.006	0.003	0.003	-0.002	0.000	0.006	0.000	-0.009	0.000	0.004	-0.007	0.000	0.002	-0.002	-0.000	-0.001	0.005	0.536	0.000	0.010
Android Version	0.000	0.000	0.000	1.000	0.000	0.012	0.000	0.000	0.000	0.000	0.006	0.004	0.005	0.000	0.004	0.003	0.000	0.010	0.007	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.005	0.009	0.000	0.000	0.005	0.000
App Size (MB)	0.009	0.000	-0.009	0.000	1.000	0.000	-0.008	0.005	0.004	0.004	0.006	0.000	0.004	0.000	0.007	0.000	0.000	-0.017	0.007	0.004	0.000	0.006	-0.008	0.018	0.000	0.000	0.002	0.000	0.000	-0.007	0.003	0.000	0.007	0.001	0.000	0.007	0.010	0.000	0.010
App Tags	0.000	0.000	0.009	0.012	0.000	1.000	0.002	0.003	0.003	0.005	0.008	0.000	0.000	0.000	0.013	0.007	0.000	0.000	0.000	0.000	0.013	0.004	0.000	0.000	0.000	0.009	0.010	0.000	0.005	0.000	0.000	0.007	0.000	0.000	0.007	0.001	0.000	0.000	0.000
App/Game Price	-0.004	0.000	-0.004	0.000	-0.008	0.002	1.000	0.000	0.004	0.001	0.000	0.004	0.000	0.000	0.008	0.923	0.000	0.002	0.004	0.002	0.000	0.000	0.979	0.005	0.007	0.007	-0.009	0.000	0.000	0.003	0.005	0.000	-0.003	0.003	0.001	0.006	0.004	0.000	0.000
Auto-Renew	0.000	0.008	0.000	0.000	0.005	0.003	0.000	1.000	0.011	0.007	0.000	0.005	0.000	0.005	0.002	0.007	0.002	0.009	0.005	0.000	0.000	0.004	0.005	0.000	0.000	0.000	0.000	0.003	0.000	0.000	0.007	0.010	0.011	0.000	0.000	0.001	0.006	0.000	0.000
Category	0.010	0.000	0.008	0.000	0.004	0.003	0.004	0.011	1.000	0.000	0.007	0.000	0.000	0.000	0.000	0.001	0.000	0.003	0.000	0.003	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.008	0.000	1.000	0.009	0.000	0.000	0.001	0.007	0.002	0.010
Country	0.000	0.006	0.000	0.000	0.004	0.005	0.001	0.007	0.000	1.000	0.000	0.000	0.000	0.002	0.005	0.004	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.007	0.004	0.006	0.000	0.003	1.000	0.005	0.000	0.005	0.006	0.005	0.004	0.013	0.000
Day of Week	0.000	0.010	0.000	0.006	0.006	0.008	0.000	0.000	0.007	0.000	1.000	0.000	0.007	0.000	0.000	0.000	0.002	0.005	0.005	0.006	0.009	0.000	0.007	0.000	0.001	0.002	0.000	0.000	0.000	0.008	0.004	0.008	0.004	0.008	0.003	0.003	0.005	0.000	0.008
Device Locale/Language	0.005	0.000	0.007	0.004	0.000	0.000	0.004	0.005	0.000	0.000	0.000	1.000	0.000	0.013	0.000	0.000	0.004	0.000	0.000	0.000	0.000	0.006	0.000	0.000	0.003	0.000	0.000	0.000	0.005	0.005	0.004	0.000	0.009	0.000	0.000	0.000	0.005	0.000	0.006
Device Type	0.004	0.000	0.000	0.005	0.004	0.000	0.000	0.000	0.000	0.000	0.007	0.000	1.000	0.005	0.000	0.007	0.000	0.000	0.000	0.000	0.000	0.007	0.006	0.000	0.006	0.000	0.000	0.004	0.000	0.009	0.003	0.000	0.000	0.007	0.000	0.000	0.000	0.011	0.000
Discount Applied	0.000	0.000	0.011	0.000	0.000	0.000	0.000	0.005	0.000	0.002	0.000	0.013	0.005	1.000	0.003	0.000	0.000	0.006	0.000	0.004	0.003	0.001	0.200	0.003	0.009	0.005	0.014	0.005	0.000	0.000	0.002	0.019	0.009	0.000	0.011	0.000	0.004	0.000	0.004
Favorite Flag	0.000	0.005	0.000	0.004	0.007	0.013	0.008	0.002	0.000	0.005	0.000	0.000	0.000	0.003	1.000	0.004	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.006	0.000	0.000	0.000	0.000	0.006	0.000	0.000	0.000	0.000	0.000	0.012	0.000	0.000	0.000	0.004
Free/Paid	0.000	0.007	0.000	0.003	0.000	0.007	0.923	0.007	0.001	0.004	0.000	0.000	0.007	0.000	0.004	1.000	0.000	0.007	0.000	0.000	0.000	0.000	0.856	0.007	0.000	0.009	0.000	0.000	0.000	0.010	0.000	0.000	0.015	0.004	0.000	0.010	0.000	0.000	0.000
Gender	0.008	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.000	0.000	0.002	0.004	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.003	0.000	0.000	0.000	0.000	0.006	0.000	0.013	0.002	0.000	0.005	0.000	0.000	0.006	0.000	0.011	0.000	0.000	0.000	0.002
ID	-0.003	0.000	0.002	0.010	-0.017	0.000	0.002	0.009	0.003	0.000	0.005	0.000	0.000	0.006	0.000	0.007	0.000	1.000	0.017	0.015	0.000	0.000	0.001	0.009	0.000	0.008	0.005	0.000	0.010	0.006	0.000	0.009	-0.003	0.001	-0.004	-0.002	0.000	0.008	0.000
In-App Purchases	0.000	0.004	0.000	0.007	0.007	0.000	0.004	0.005	0.000	0.000	0.005	0.000	0.000	0.000	0.000	0.000	0.000	0.017	1.000	0.000	0.009	0.000	0.000	0.000	0.008	0.000	0.000	0.000	0.000	0.000	0.000	0.006	0.004	0.014	0.010	0.007	0.000	0.002	0.000
Income Level	0.000	0.000	0.006	0.003	0.004	0.000	0.002	0.000	0.003	0.000	0.006	0.000	0.000	0.004	0.000	0.000	0.003	0.015	0.000	1.000	0.012	0.003	0.000	0.000	0.003	0.005	0.000	0.000	0.000	0.009	0.011	0.000	0.000	0.013	0.000	0.004	0.000	0.002	0.002
Play Pass Plan	0.012	0.011	0.003	0.000	0.000	0.013	0.000	0.000	0.003	0.000	0.009	0.000	0.000	0.003	0.000	0.000	0.000	0.000	0.009	0.012	1.000	1.000	0.015	0.006	0.006	0.009	0.006	0.000	0.000	0.009	0.004	0.000	0.006	0.000	0.003	0.000	0.000	0.000	0.002
Play Pass User	0.000	0.000	0.003	0.000	0.006	0.004	0.000	0.004	0.000	0.000	0.000	0.006	0.007	0.001	0.000	0.000	0.000	0.000	0.000	0.003	1.000	1.000	0.002	0.000	0.000	0.000	0.000	0.003	0.005	0.000	0.000	0.000	0.000	0.005	0.000	0.000	0.000	0.000	0.000
Price Paid (with Coupon)	-0.005	0.000	-0.002	0.000	-0.008	0.000	0.979	0.005	0.000	0.000	0.007	0.000	0.006	0.200	0.000	0.856	0.000	0.001	0.000	0.000	0.015	0.002	1.000	0.203	0.003	0.000	-0.008	0.009	0.000	0.003	0.000	0.000	-0.004	0.003	0.001	0.006	0.004	0.006	0.009
Promo Code Used	0.006	0.000	0.000	0.000	0.018	0.000	0.005	0.000	0.000	0.000	0.000	0.000	0.000	0.003	0.006	0.007	0.000	0.009	0.000	0.000	0.006	0.000	0.203	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.005	0.000	0.004	0.011	0.007	0.011	0.000	0.000	0.000
Rating	0.003	0.000	0.006	0.000	0.000	0.000	0.007	0.000	0.000	0.000	0.001	0.003	0.006	0.009	0.000	0.000	0.006	0.000	0.008	0.003	0.006	0.000	0.003	0.000	1.000	0.007	0.000	0.006	0.004	0.003	0.000	0.003	0.000	0.000	0.000	0.005	0.005	0.000	0.003
Region	0.000	0.000	0.000	0.000	0.000	0.009	0.007	0.000	0.000	0.007	0.002	0.000	0.000	0.005	0.000	0.009	0.000	0.008	0.000	0.005	0.009	0.000	0.000	0.000	0.007	1.000	0.000	0.002	0.000	0.005	0.008	0.000	0.011	0.000	0.000	0.000	0.003	0.000	0.003
Review Length	-0.003	0.007	-0.009	0.000	0.002	0.010	-0.009	0.000	0.000	0.004	0.000	0.000	0.000	0.014	0.000	0.000	0.013	0.005	0.000	0.000	0.006	0.000	-0.008	0.000	0.000	0.000	1.000	0.000	0.000	-0.002	0.006	0.000	0.003	0.004	0.006	0.010	0.004	0.010	0.000
Review Sentiment	0.000	0.001	0.000	0.000	0.000	0.000	0.000	0.003	0.000	0.006	0.000	0.000	0.004	0.005	0.000	0.000	0.002	0.000	0.000	0.000	0.000	0.003	0.009	0.000	0.006	0.002	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.003	0.000	0.003	0.000	0.000	0.002
Season	0.000	0.003	0.004	0.000	0.000	0.005	0.000	0.000	0.000	0.000	0.000	0.005	0.000	0.000	0.006	0.000	0.000	0.010	0.000	0.000	0.000	0.005	0.000	0.000	0.004	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.005	0.004	0.000	0.006	0.000	0.000
Session Count	0.000	0.000	-0.007	0.000	-0.007	0.000	0.003	0.000	0.008	0.003	0.008	0.005	0.009	0.000	0.000	0.010	0.005	0.006	0.000	0.009	0.009	0.000	0.003	0.000	0.003	0.005	-0.002	0.000	0.000	1.000	0.004	0.007	-0.004	0.003	-0.002	-0.002	0.000	0.000	0.012
State	0.000	0.016	0.000	0.000	0.003	0.000	0.005	0.007	0.000	1.000	0.004	0.004	0.003	0.002	0.000	0.000	0.000	0.000	0.000	0.011	0.004	0.000	0.000	0.005	0.000	0.008	0.006	0.000	0.000	0.004	1.000	0.000	0.008	0.013	0.003	0.002	0.000	0.017	0.000
Sub_Category	0.009	0.011	0.002	0.000	0.000	0.007	0.000	0.010	1.000	0.005	0.008	0.000	0.000	0.019	0.000	0.000	0.000	0.009	0.006	0.000	0.000	0.000	0.000	0.000	0.003	0.000	0.000	0.000	0.000	0.007	0.000	1.000	0.005	0.000	0.000	0.000	0.000	0.000	0.007
Subscription Duration	0.008	0.006	-0.002	0.000	0.007	0.000	-0.003	0.011	0.009	0.000	0.004	0.009	0.000	0.009	0.000	0.015	0.006	-0.003	0.004	0.000	0.006	0.000	-0.004	0.004	0.000	0.011	0.003	0.000	0.000	-0.004	0.008	0.005	1.000	0.011	0.002	-0.000	0.000	0.008	0.008
Time Since Last Use (days)	0.002	0.009	-0.000	0.005	0.001	0.000	0.003	0.000	0.000	0.005	0.008	0.000	0.007	0.000	0.000	0.004	0.000	0.001	0.014	0.013	0.000	0.005	0.003	0.011	0.000	0.000	0.004	0.003	0.005	0.003	0.013	0.000	0.011	1.000	0.002	0.003	0.000	0.007	0.000
Time Spent (min)	-0.000	0.000	-0.001	0.009	0.000	0.007	0.001	0.000	0.000	0.006	0.003	0.000	0.000	0.011	0.012	0.000	0.011	-0.004	0.010	0.000	0.003	0.000	0.001	0.007	0.000	0.000	0.006	0.000	0.004	-0.002	0.003	0.000	0.002	0.002	1.000	0.001	0.003	0.004	0.004
Total Installs	0.006	0.000	0.005	0.000	0.007	0.001	0.006	0.001	0.001	0.005	0.003	0.000	0.000	0.000	0.000	0.010	0.000	-0.002	0.007	0.004	0.000	0.000	0.006	0.011	0.005	0.000	0.010	0.003	0.000	-0.002	0.002	0.000	-0.000	0.003	0.001	1.000	0.000	0.000	0.016
Transaction Type	0.009	0.000	0.536	0.000	0.010	0.000	0.004	0.006	0.007	0.004	0.005	0.005	0.000	0.004	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.004	0.000	0.005	0.003	0.004	0.000	0.006	0.000	0.000	0.000	0.000	0.000	0.003	0.000	1.000	0.000	0.000
Uninstalled	0.000	0.008	0.000	0.005	0.000	0.000	0.000	0.000	0.002	0.013	0.000	0.000	0.011	0.000	0.000	0.000	0.000	0.008	0.002	0.002	0.000	0.000	0.006	0.000	0.000	0.000	0.010	0.000	0.000	0.000	0.017	0.000	0.008	0.007	0.004	0.000	0.000	1.000	0.000
Weekend	0.011	0.000	0.010	0.000	0.010	0.000	0.000	0.000	0.010	0.000	0.008	0.006	0.000	0.004	0.004	0.000	0.002	0.000	0.000	0.002	0.002	0.000	0.009	0.000	0.003	0.003	0.000	0.002	0.000	0.012	0.000	0.007	0.008	0.000	0.004	0.016	0.000	0.000	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

	ID	Name	Email	Phone	Age	Gender	Income Level	Device Type	Android Version	App Name	Developer	Category	Sub_Category	Free/Paid	In-App Purchases	App Size (MB)	Total Installs	Transaction ID	Transaction Type	App/Game Price	Discount Applied	Promo Code Used	Price Paid (with Coupon)	Amount Spent on In-App Purchases	Time Spent (min)	Session Count	Time Since Last Use (days)	Favorite Flag	Uninstalled	Date	Time	Day of Week	Weekend	Season	Rating	Review Text	Review Sentiment	Review Length	Demographic Location	State	Country	Region	Play Pass Plan	Play Pass User	Subscription Duration	Auto-Renew	App Tags	Age Rating	Device Locale/Language
0	1	Danielle Taylor	rhodespatricia@garza.com	833-589-0838	18	Male	Low	Motorola Edge	11	Sharable Bifurcated Algorithm Action	Lawrence-Pacheco	Games	Action	Free	Yes	126.220001	2342057	28df6ec4-ce4a-4bbd-8241-330b01a9e71f	Install	0.000000	Yes	No	0.000000	0.00	279	27	14	No	No	2025-03-09	03:18:32	Sunday	Yes	Summer	4	Everyone democratic shake bill here grow gas enough analysis least.	Neutral	162	South Christianport	Gauteng	South Africa	Europe	NaN	No	6	No	Offline, AR Support	Teen	en-US
1	2	Michele Williams	kendragalloway@gmail.com	664-375-2553	53	Other	Medium	Motorola Edge	12	Self-Enabling Regional Hierarchy Online Courses	Reid, Ferguson and Sanchez	Education	Online Courses	Free	Yes	404.529999	7708870	fd5166e6-451b-4cf3-a123-fdf77656af72	Refund	0.000000	No	Yes	0.000000	0.00	23	43	14	No	Yes	2025-03-31	06:43:32	Sunday	Yes	Spring	4	Detail food shoulder argue start source husband at tree note responsibility defense material.	Neutral	252	Thomasberg	Kyoto	Japan	Southeast Asia	monthly	Yes	5	No	Editor’s Choice, Multiplayer	18+	pt-BR
2	3	Nicole Patterson	jeffrey28@yahoo.com	801-922-6916	56	Female	Low	Pixel 7	11	Fully-Configurable Value-Added Open Architecture Kids Learning	King, Tran and Dunlap	Education	Kids Learning	Free	No	89.709999	4108245	ae849217-1d53-434b-b881-39b9ae270da7	Subscription	0.000000	No	No	0.000000	21.25	33	14	58	No	Yes	2025-03-27	11:16:42	Saturday	No	Winter	4	Shoulder future fall citizen about reveal rest will seven.	Positive	155	Port Colleenhaven	Beijing	China	Europe	one_month	Yes	7	No	AR Support, Family Friendly	18+	de-DE
3	4	Christopher Ashley	georgetracy@gmail.com	(443)903-9117x182	37	Female	High	Xiaomi 13	13	Robust Dedicated Collaboration To-Do List	Martin, Rose and Obrien	Productivity	To-Do List	Free	Yes	249.289993	791481	8a0f4efb-edcd-465e-b638-6821f6e07cc0	Ad Click	0.000000	Yes	Yes	0.000000	0.00	58	44	56	No	No	2025-03-15	12:50:29	Monday	No	Winter	2	Require human public health tonight later easy ask.	Neutral	21	New Angelashire	Osaka	Japan	Southeast Asia	NaN	No	16	Yes	AR Support, Offline	18+	pt-BR
4	5	Amy Jones	heathchad@ramirez.com	+1-329-397-3763	36	Female	Low	Samsung Galaxy S23	12	Face-To-Face 24Hour Archive Language Learning	Jordan, Henderson and Owens	Education	Language Learning	Free	Yes	80.660004	2711343	a748dbcf-ac61-4e63-8dde-29a6baa4b71a	Install	0.000000	No	No	0.000000	0.00	43	47	31	Yes	Yes	2025-04-06	21:14:08	Tuesday	No	Summer	3	Art rock song body court movie cell.	Negative	236	West Steven	KwaZulu-Natal	South Africa	Europe	NaN	No	17	Yes	Editor’s Choice, Family Friendly	18+	pt-BR
5	6	Krista Williams	novaksara@gmail.com	(267)873-6026	58	Other	Low	Pixel 7	11	Compatible Leadingedge Workforce RPG	House-Glover	Games	RPG	Free	Yes	116.230003	5673134	f512c4c3-b253-4218-ac4a-37ea490617f2	Install	0.000000	Yes	Yes	0.000000	0.00	169	5	32	Yes	No	2025-03-12	13:21:11	Saturday	No	Summer	5	Product main couple design around save article finish anyone live try most arm.	Positive	262	Port Jacobland	Alberta	Canada	Europe	NaN	No	15	No	Multiplayer, Offline	Everyone	de-DE
6	7	Steve Sanchez	harveyrobert@hotmail.com	001-485-643-5346	28	Male	Low	Motorola Edge	14	Synergistic Disintermediate Initiative Battery Saver	Stewart-Walton	Tools	Battery Saver	Free	Yes	432.600006	909841	9f044aed-7552-4327-8262-7f7312922f83	Subscription	0.000000	Yes	No	0.000000	22.24	142	30	15	Yes	No	2025-02-24	01:08:26	Sunday	Yes	Spring	5	Mrs media car give attention each.	Positive	67	Ericside	Hokkaido	Japan	Europe	NaN	No	5	No	Family Friendly, AR Support	Everyone	de-DE
7	8	Dr. Kendra Contreras	sarah12@yahoo.com	518-624-4935	22	Male	Medium	Pixel 7	11	Triple-Buffered Exuding Pricing Structure File Manager	Freeman, Whitehead and Mathis	Tools	File Manager	Paid	Yes	492.730011	4450368	d450281c-6c6f-4633-a260-772317a0df49	Refund	35.119999	No	No	35.119999	0.00	160	4	3	No	Yes	2025-01-27	18:46:46	Monday	Yes	Summer	1	Four capital woman claim kind relationship.	Negative	54	North Charlesberg	Texas	USA	Europe	yearly	Yes	12	Yes	AR Support, Multiplayer	18+	en-GB
8	9	Brittany Anderson	michael05@gmail.com	+1-731-858-6923x22602	21	Other	High	OnePlus 11	14	Quality-Focused 5Thgeneration Hub Casual	Shields, Cochran and Adams	Games	Casual	Paid	No	330.399994	9483934	61ee411a-1bac-47a7-b386-f7a4c991603f	Subscription	33.810001	No	Yes	15.450000	46.59	37	1	29	Yes	Yes	2025-03-26	12:07:33	Friday	Yes	Autumn	2	Develop staff least figure somebody dinner age cover foreign ten whom evidence.	Neutral	55	Frazierside	Illinois	USA	Europe	yearly	Yes	11	No	Multiplayer, Family Friendly	18+	pt-BR
9	10	Debbie Carpenter	benjamin96@chandler-edwards.org	316.793.4060x88356	30	Female	High	Pixel 7	13	Managed 4Thgeneration Budgetary Management Online Courses	Edwards, Charles and Cortez	Education	Online Courses	Free	Yes	466.220001	1738893	aab97e49-4f2d-4796-81d2-c7de4ce1eb90	Install	0.000000	No	Yes	0.000000	0.00	135	33	31	No	Yes	2025-02-09	07:40:50	Monday	No	Autumn	1	Recent never court professor here security community notice image street fight.	Positive	190	South Kristi	Mexico City	Mexico	Europe	one_month	Yes	20	No	Multiplayer, Family Friendly	18+	de-DE

	ID	Name	Email	Phone	Age	Gender	Income Level	Device Type	Android Version	App Name	Developer	Category	Sub_Category	Free/Paid	In-App Purchases	App Size (MB)	Total Installs	Transaction ID	Transaction Type	App/Game Price	Discount Applied	Promo Code Used	Price Paid (with Coupon)	Amount Spent on In-App Purchases	Time Spent (min)	Session Count	Time Since Last Use (days)	Favorite Flag	Uninstalled	Date	Time	Day of Week	Weekend	Season	Rating	Review Text	Review Sentiment	Review Length	Demographic Location	State	Country	Region	Play Pass Plan	Play Pass User	Subscription Duration	Auto-Renew	App Tags	Age Rating	Device Locale/Language
49990	49991	Cynthia Hull	erika93@hotmail.com	940.934.1005x91914	53	Male	Medium	OnePlus 11	13	Ameliorated Uniform Leverage Calendar	Rowland Group	Productivity	Calendar	Paid	Yes	195.029999	6663365	50466b70-6441-490f-9651-180935ca223f	Install	4.98	No	Yes	3.090000	0.000000	138	10	43	Yes	Yes	2025-02-14	12:05:26	Thursday	Yes	Summer	2	Success body peace baby let relationship mouth meet face any light expect game.	Negative	38	Victorton	Florida	USA	Europe	NaN	No	14	Yes	AR Support, Offline	Teen	en-GB
49991	49992	Ellen Shields	nicholas26@gmail.com	215-446-3583x575	30	Other	High	Motorola Edge	11	Triple-Buffered Homogeneous Artificial Intelligence Puzzle	Schmidt, Nguyen and Friedman	Games	Puzzle	Paid	No	88.540001	7229838	9c7f692a-63ae-4044-b05b-1a7402d529a9	Refund	25.41	No	Yes	12.170000	0.000000	243	13	30	No	No	2025-01-02	09:35:58	Monday	Yes	Spring	3	Phone help baby war above much study.	Neutral	142	West Ashley	Ontario	Canada	Southeast Asia	NaN	No	0	Yes	Multiplayer, AR Support	Teen	en-GB
49992	49993	Ann Cantrell	stephen81@example.com	595-245-2350x321	39	Female	Medium	OnePlus 11	12	Reactive 24Hour Frame To-Do List	Jenkins, Rubio and Lowe	Productivity	To-Do List	Free	No	382.670013	8439346	aab88976-2f0d-412c-a536-2fc876b8d150	Refund	0.00	Yes	Yes	0.000000	0.000000	275	14	16	No	Yes	2025-02-24	20:20:59	Wednesday	No	Summer	2	Mean tonight meet machine plant defense four investment space board.	Positive	44	Toddmouth	Karnataka	India	Africa	yearly	Yes	17	No	Offline, Multiplayer	Everyone	pt-BR
49993	49994	Jon Day	amanda34@yahoo.com	858.569.8874x74338	61	Male	High	OnePlus 11	13	Virtual Responsive Application Puzzle	Shepherd, Haynes and Smith	Games	Puzzle	Free	Yes	110.629997	8876665	0ab343b8-af57-4a87-8432-fc7aa6ae49b4	Ad Click	0.00	No	Yes	0.000000	0.000000	294	11	0	Yes	Yes	2025-02-13	02:35:19	Friday	Yes	Winter	4	Key fine table method rule choose article simple ask.	Neutral	165	Lake Caitlin	Tokyo	Japan	North America	one_month	Yes	12	No	AR Support, Multiplayer	18+	de-DE
49994	49995	Danielle Perry	hensleyalfred@hotmail.com	001-507-660-2806x8239	63	Female	Medium	Pixel 7	13	Organic 4Thgeneration Groupware Calendar	Manning-Kelly	Productivity	Calendar	Free	No	225.000000	8052425	399b1843-37a9-46b4-aff1-d0f30e7cee82	In-App Purchase	0.00	No	Yes	0.000000	136.699997	296	45	7	Yes	No	2025-01-30	07:34:15	Wednesday	No	Winter	2	Hard market officer pretty debate land entire third three our buy.	Neutral	235	Ramseyburgh	Wales	UK	North America	yearly	Yes	18	Yes	AR Support, Multiplayer	Everyone	hi-IN
49995	49996	Rebecca Smith	ydavis@odom-warren.com	+1-375-438-4225	59	Other	Low	Pixel 7	12	Compatible 4Thgeneration Project To-Do List	Green, Matthews and Hall	Productivity	To-Do List	Free	No	498.529999	8183199	655079c7-bab6-4f98-a850-41f374e20b5b	Install	0.00	Yes	Yes	0.000000	0.000000	108	30	4	Yes	No	2025-02-08	22:50:13	Sunday	Yes	Winter	3	Along way enough teacher reach environment local.	Neutral	25	Port Daniellehaven	Bahia	Brazil	Southeast Asia	one_month	Yes	24	Yes	Multiplayer, AR Support	Everyone	pt-BR
49996	49997	Ryan Montgomery	usanchez@garcia.com	+1-976-656-4738x8408	30	Other	Medium	Samsung Galaxy S23	14	Ergonomic Systemic Project File Manager	Morris Ltd	Tools	File Manager	Paid	No	477.059998	8797413	f5fc9845-425c-4104-92e5-6d47844578ec	Refund	34.84	Yes	No	15.040000	0.000000	191	49	31	Yes	No	2025-03-30	17:37:11	Monday	No	Winter	2	Evening not these far reflect shake herself wall.	Neutral	202	West Jenniferstad	Minas Gerais	Brazil	Southeast Asia	monthly	Yes	19	Yes	Editor’s Choice, Multiplayer	Teen	pt-BR
49997	49998	David Mcgrath	kimberly88@ellison.info	+1-582-203-1157x1731	59	Other	Low	Pixel 7	11	Compatible Exuding Toolset RPG	Olson-Farmer	Games	RPG	Free	No	248.399994	1016133	ae1ec747-1b97-421a-b98d-d41bac9c7f8a	Refund	0.00	Yes	Yes	0.000000	0.000000	254	36	51	Yes	Yes	2025-03-17	21:12:14	Tuesday	No	Autumn	5	National lay just tend main road.	Positive	170	Port Briannamouth	Jalisco	Mexico	Africa	yearly	Yes	4	No	Offline, Editor’s Choice	Everyone	de-DE
49998	49999	Kaitlyn Bennett	cheyennealexander@snyder.com	001-374-882-2348x919	46	Male	Medium	OnePlus 11	11	Inverse Full-Range Firmware RPG	Cook, Crawford and Howell	Games	RPG	Paid	Yes	82.239998	7684023	5dd08bcd-ad1b-4111-ad7f-1c10887c9751	Install	13.77	Yes	Yes	6.500000	0.000000	41	28	43	Yes	No	2025-03-20	16:23:16	Wednesday	Yes	Winter	2	Off occur maybe article according program.	Positive	192	Johnton	São Paulo	Brazil	Europe	one_month	Yes	10	No	AR Support, Offline	Everyone	de-DE
49999	50000	Darren Romero	angelarogers@example.org	+1-776-923-0318x93612	45	Female	High	Motorola Edge	13	Business-Focused Multimedia Migration Battery Saver	Boyle LLC	Tools	Battery Saver	Paid	No	186.520004	8372450	43d0a77d-5680-4454-9a12-2ecdebdb8bc7	Refund	31.67	No	Yes	19.549999	0.000000	111	20	16	Yes	No	2025-04-02	03:16:24	Wednesday	No	Spring	1	Ask ok number letter dinner house attorney page yet yeah forget property still.	Negative	97	East Ronaldport	Maharashtra	India	Southeast Asia	yearly	Yes	7	Yes	Family Friendly, AR Support	18+	en-US

Overview

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Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script